Printer Friendly

Genetic improvement of New Mexico Acala cotton germplasm and their genetic diversity.

COTTON, primarily G. hirsutum, is the leading fiber crop and the second most important oilseed crop in the USA. Profitability in growing cotton crop is affected by yields, quality, and production costs. U.S. cotton production has experienced two periods of yield plateaus or even declines since the 1960s (Culp and Green, 1992; Meredith, 2000). The first plateau lasted for about 15 yr from 1965 to 1979, which was followed by a 13 yr of yield increases. Cotton yield peaked again at 1992 and has declined ever since (Meredith, 2000). On the basis of the National Cotton Variety Tests, Meredith (2000) further showed that the overall yield increases in five of six cotton-growing regions ranged from 6.8 to 9.5 kg [ha.sub.-1] [yr.sub.-1] from 1960 through 1996. However, trends in yield reduction were noted during the two plateau periods. This was confirmed by reduced genetic gain in breeding over time on the basis of field comparison on performance of cultivars released during various periods. In Tennessee, genetic gain in yield improvement was 7.2 kg [ha.sup.-1] [yr.sup.-1] as calculated by Culp and Green (1992) on the basis of the data from Hoskinson and Stewart (1977). In South Carolina, genetic gain in yield improvements was 10.5 kg [ha.sup.-1] [yr.sup.-1] for commercial cultivars and 15.1 kg [ha.sup.-1] [yr.sup.-1] for Pee Dee germplasm lines from 1945 to 1978 (Culp and Green, 1992). For California Acala cotton, Bassett and Hyer (1985) estimated the genetic gain of 8.0 kg [ha.sup.-1] [yr.sup.-1] from 1930 to 1980. In the Mississippi Delta, genetic gain in lint yield improvements averaged 9.1 to 10.2 kg [ha.sup.-1] [yr.sup.-1] from 1922 to 1966 and 8.5 to 9.5 kg [ha.sup.-1] [yr.sup.-1] from 1910 to 1978; however, the rate was shown to be decreased when a longer period was included in the analysis: 5.4 kg [ha.sup.-1] [yr.sup.-1] from 1938 to 1993 and 4.7 kg [ha.sup.-1] [yr.sup.-1] from 1938 to 1999. The genetic gain was further decreased to 3.5 kg [ha.sup.-1] [yr.sup.-1] from 1983 to 1999 (Bridge et al., 1971; Bridge and Meredith, 1983; Meredith 2000). The slowed genetic gain in cotton yield improvement was thought to be due to narrow genetic base of upland cotton and repeated use of a few upland cotton germplasm in major commercial cotton breeding programs (May et al., 1995; Meredith, 2000; Lewis, 2001).

The success of cotton breeding for high yield before the 1990s was in part attributed to free exchanges of germplasm and broad use of parental lines. For example, Acala cotton germplasm released from the New Mexico State University cotton breeding and genetics program has played an important role in the U.S. cotton industry. Since the establishment of the program in 1926, more than 30 Acala 1517 series of cotton cultivars and numerous germplasm lines have been developed and released (Staten, 1970; Smith et al., 1999). New Mexico Acala cotton germplasm, known for its high fiber quality, good Verticillium wilt tolerance, and large boll size (Smith et al., 1999), is adapted to the southwestern growing region (semiarid and hot in the summer) of the U.S. Cotton Belt. Even though they are very tall and late-maturing with low yield when grown in other regions, they have been used extensively as the parental lines for developing other types of cotton cultivars since the 1950s. On the basis of Bowman et al. (1996), approximately 45% of cotton cultivars including most California Acala cotton released in the U.S. from 1950 to 1990 contained New Mexico cotton germplasm in their pedigrees. However, no information is available on the genetic gain in lint yield and other traits of agronomic importance in Acala cotton cultivars and germplasm lines released in the New Mexico Cotton program.

The uniqueness of the Acala cotton is mostly due to its unique breeding history in which germplasm from G. barbadense L. and Triple Hybrid (ATH, G. arboreum L. x G. thurberi Todaro x G. hirsutum L) were introgressed into the Acala cotton (Smith et al., 1999). Inter-specific introgression was also evident in the development of high quality Pee Dee germplasm lines (Culp and Green, 1992; May, 2001). There have been attempts to introduce fiber quality genes from Acala and/or Pee Dee lines into other cottons to develop high-yielding cultivars, but success has been limited (Bowman and Gutierrez, 2003). Priority in Acala cotton breeding programs has been given to developing germplasm with better fiber quality in which desirable genes for fiber quality have been maintained and accumulated. Zhang et al. (2005) reported that some representative commercial Acala cotton cultivars had a high frequency of several unique SSR markers that were associated with fiber quality traits. However, information on genetic divergence among the historically released Acala cultivars and germplasm is lacking. The assessment of genetic diversity in commercial Acala cotton and germplasm released during various periods on the basis of molecular markers will provide useful information for sustainable future cotton breeding and germplasm conservation. Detailed DNA marker information could provide clues in identifying certain chromosomal regions in Acala cottons that might be associated with their agronomic performance.

The objectives of this study were (i) to analyze the progress in genetic improvement of Acala 1517 cotton cultivars released from New Mexico since 1930 and (ii) to assess their genetic divergence on the basis of SSR DNA markers.


Replicated Field Trials

Regional tests on Acala 1517 experimental strains and cultivars were conducted each year since the mid-1930s on the University farm near Las Cruces, NM, and on the Artesia Agricultural Science Center, Artesia, NM. The tests at different locations and in different years had different cultivars and lines. The cultivars were arranged in a randomized complete block design with four replicates. The individual plot size was two or four rows, each 10 to 15 m long. When cotton was mature, 50 open bolls were hand harvested from each of the plots for measuring lint percentage and fiber quality. Fiber quality traits including length, strength, and micronaire (fineness) were tested with in-house single instruments (fibrograph, micronaire, and stelometer). In earlier years, the two center rows were handpicked for yield determination. Since the mid-1970s, each of the plots was mechanically harvested for seed-cotton yield estimates. The data were subjected to an analysis of variance (ANOVA) manually or by SAS (SAS, Cary, NC) or AgroBase 21 (Agronomix Software Inc., Winnipeg, MB).

During different testing periods, different standard cultivars were used. From the late 1930s to 1950s, Acala 1517 was the most used standard for comparison, while Acala 1517V was the standard cultivar from 1965 to 1974. From the late 1970s to 1980s, Acala 1517-75 and 1517-77 were commonly used. Acala 1517-91, 1517-95, and 1517-99 have been frequently used as standards since the 1990s. For comparison purposes, the yield performance of each cultivar was adjusted as percentages in relation to the yield of the standard used in the same tests. Acala 1517V served as the common standard for overall adjustments for yield and other traits. First, the percentage of yield from the selected standards (e.g., CK1) over 1517V in different periods was calculated ([p.sub.1] = CK1/1517V). Then, percentage ([p.sub.2]) of yield from tested cultivars (e.g., 1517) over the selected standards (e.g., CK1) was calculated ([p.sub.2] = 1517/CK1). Finally, the adjusted yield in comparison with 1517V for a tested cultivar equaled to the unadjusted yield 1517 x [p.sub.1] x [p.sub.2]. Information was also collected from data published in Crop Science for cultivar registrations (Table 1).

SSR Fingerprinting

Seeds for 31 cotton germplasm lines including the 16 Acala cultivars listed in Table 1 and 13 other Acala cultivars or strains (Acala Original, Acala Mesilla Valley, Acala 2, Acala 8, Acala 44WR, Acala 51, Acala 1517-5-12, Acala 1481, Acala Hopi 76-18-1, Acala S J-2, Acala S J-3, Acala S J-4, and Acala Maxxa) were provided by Dr. E. Percival for SSR fingerprinting (USDA-ARS, Southern Crops Research Laboratory, Crop Germplasm Research Unit, College Station, TX). TM-1, the genetic standard of upland cotton (Kohel et al., 1970), and NM 24016, an interspecific-derived Acala cotton genetic stock (Cantrell and Davis, 2000), were also included for comparison purposes.

The cotton genotypes tested were grown in the greenhouse in 2003 and leaf tissues from at least 10 plants per line were harvested. Genomic DNA was extracted from the bulked leaves by the micro-prep method as described by Zhang and Stewart (2000). The DNA concentration was determined by a fluorometer.

Sixty-three pairs of BNL SSR primers, labeled with fluorescent HEX (4,7,2'4'5'7'-hexacloro-6-carboxyfluorescein), NED (7'8'-benzo-5' fluoro-2'4,7-trichloro-5-carboxyfluorescein), or FAM (6-carboxyfluorescein), were selected for the present study. On the basis of Liu et al. (2000b), these SSR primers were chosen to amplify fragments that were distributed on most of the known chromosomes with 2 to 4 markers per chromosome. This ensured broad genome coverage of genotyping for representational estimation of genetic distance. The PCR reactions were performed with a thermal cycler (PerkinElmer 9600 Thermocycler; PerkinElmer, Foster City, CA) in a 10-[micro]L reaction solution containing 80 ng DNA template, 0.15 [micro]M primers, 0.2 mM each dNTPs, 1x GeneAmp PCR Buffer, 2.5 mM Mg[Cl.sub.2], and 0.5 units of AmpliTaq DNA polymerase (PerkinElmer). The PCR conditions were as follows: 7 min at 95[degrees]C, followed by 40 cycles of 15 s at 94[degrees]C for DNA denaturing, 30 s at 55[degrees]C for primer annealing, and 2 min at 72[degrees]C for extension with a final extension for 30 min at 72[degrees]C. The finished PCR samples were stored at -20[degrees]C until use.

The PCR products were separated by polyacrylamide gel electrophoresis with an ABI377 Sequencer (PerkinElmer). For technical details see Liu et al. (2000a). Most SSR primers usually amplified one or two major bands, while some gave more than three bands. For the SSR markers, all the alleles were treated independently as a binary variable with 1 for presence and 0 for absence, because heterozygous status for codominant markers in the true breeding cultivars or lines was very rare, if any. Genetic similarity coefficients were calculated on the basis of simple match coefficients (SM) and Jaccard's coefficient (JC) using the Numerical Taxonomy Multivariate Analysis System (NTSYSpc) Version 2.1 software package (Exeter Software, Setauket, NY). The resulting similarity coefficients were used to perform the cluster analysis by the unweighted pair group method of arithmetic means (UPGMA).


Yield and Yield Components


Overall, cotton yield in Acala 1517 cultivars has increased at an average rate of 1.4% per year from 1930 to 2004 (Table 2). However, from Fig. 1, it is apparent that two periods of yield improvement existed. In the first period from 1930 to 1982, the increment rate for yield was 0.77% per year, whereas in the second period from 1982 to present, the gain in yield advancement increased to 3.1% per year. However, the differences in yield of cultivars across years cannot only be attributed to the genetic gain. Agronomic practices such as fertilizers have been changed over time, which accounted for some of the yield differences.

During the 1970s to 1980s, New Mexico State University had an array of excellent cotton breeders and specialists (N.R. Malm, D.D. Davis, C.E. Barnes, and C.L. Roberts). Their long-lasting and joint efforts eventually paid off and produced many Acala 1517 cultivars (Table 1). As a result, the improvement in cotton yield was accelerated in 1980s and this trend has been maintained through the 1990s when the program was led by R.G. Cantrell.

Boll Size

Boll size was measured on the basis of seedcotton weight (g) per boll or lint weight (g) per boll in the program. However, only 11 cultivars measured by seedcotton weight per boll were used for the analysis (Fig. 2). It appears that boll size has decreased from large boll (>7 g/boll) to medium-sized bolls (5.3-5.5 g/boll) in 2004. The increment rate for boll size is -0.05 g per boll per year (Table 2).

Seed Index

The earliest Acala cotton cultivars had relatively small seed (Fig. 3). However, on the basis of the data available from the late 1960 to the 1990s, the cultivars released from 1970 to the early 1980s had large seed (>13 g of seed index), whereas the seed size in the cultivars released from the late 1980s to the 1990s had smaller seed (about 11.5 g for seed index). The trend with a reduction of 0.10 g per year was linear and highly significant from 1969 to 1999 (Table 2).

Lint Percentage

The earliest Acala cultivars had relatively high lint percentage (>40%). However, lint percentage in the cultivars released in the 1940s was reduced to 35 to 36%. Since then, lint percentage in Acala 1517 cultivars has been steadily improved with a rate of 0.12% per year (Table 2, P < 0.01) and reached approximately 40% in the cultivars released in the 1990s (Fig. 4). The most recently released cultivars have even higher lint percentage (41-44%).

Fiber Quality

Fiber Length

Most Acala 1517 cultivars released in the 1960s to 1970s had fiber length greater than 30.99 mm, while the fiber length in the cultivars released in the 1980s was reduced to less than 30.48 mm (Fig. 5). The increment rate was -0.0254 mm per year (Table 2). However, the negative trend was reversed in the newly released cultivars since 1991 that have had longer fiber (>30.73 mm).

Fiber Strength

Except for the cultivars released in the late 1980s to early 1990s that had slightly reduced fiber strength, Acala 1517 cultivars had improved fiber strength over time with an increment rate of 0.0294 kN m [kg.sup-1] [yr.sup.-1] (Table 2; Fig. 6). The most recently released cultivars (1517-02, 03, and 04) had strength between 225.4 to 245.0 kN m [kg.sup.-1].


Micronaire is a measurement for fiber fineness and maturity, equivalent to fiber weight per unit fiber length, i.e., the higher the micronaire, the coarser the fiber. Micronaire in Acala 1517 cultivars has been steadily increased over years from 3.8 in 1960 to 4.6 in 2004. The increment rate, 0.01 per year, is linear and highly significant (Table 2; Fig. 7). However, micronaire in the newly released cultivars (1517-02, 03, and 04) is still well below 4.9, a discount point for coarser fiber.

In summary, yield in Acala 1517 cultivars has been steadily increased with a higher genetic gain seen since the 1980s. The yield improvement has been accompanied by a steady increase in lint percentage and micronaire, and a reduction in boll and seed size. The new higher yielding cultivars have higher lint percentage, coarser fiber, smaller bolls and smaller seed. Fiber length and strength in the cultivars released since the late 1990 were significantly improved.

SSR Marker Diversity and Cluster Analysis

Sixty-three SSR primer pairs generated 86 loci and 189 alleles, among which 68 SSR loci with 154 alleles are distributed on 45 linkage groups with 2 to 4 loci per chromosome (Liu et al., 2000b; Lacape et al., 2003). The SSR markers were relatively evenly distributed on the A and D subgenomes. Of 37 (84 alleles) and 31 loci (74 alleles) that were distributed on the two subgenomes, respectively, 12 and 11 loci showed polymorphism. Of the 18 loci with 31 alleles that were not assigned to any chromosomes, 9 loci were polymorphic. A total of 32 polymorphic SSR markers were produced in the set of germplasm. On average, each chromosome carried 3.3 SSR markers. Genetic distance between Acala germplasm ranged from 0.065 to 0.380 with an average of 0.193, indicating substantial genetic diversity within Acala cotton germplasm. As evidenced from the pedigree analysis, the high genetic divergence within Acala cotton was in part attributed to interspecific germplasm introgression into the Acala cotton.

Direct selection played a very important role in developing Acala cultivars, especially in the early days. Of 30 Acala 1517 cultivars, 13 were from direct pedigree selections. Except for 1517BR and its derivative, 1517-BR1, all the early Acala cultivars (before 1960) including College Acala, Acala 1064, Acala 1517, Acala 1517A, Acala 1517WR, and Acala 1517B were from reselections. Their original progenitor can be traced back to Watson. However, Acala Original and Acala 1064 were grouped with TM-1, an inbred line from many generations of self pollination from DP 14. Acala Young, a reselection from Watson, was grouped with Acala SJ-3, while Acala 1517 WR was grouped with Acala SJ-2. This indicated that the original Acala population contained enormous genetic variation and within-population reselection dramatically changed genotypic composition, resulting in great dissimilarity between original heterozygous and heterogeneous population and its selections.

Acala Young formed a large group with 16 other Acala germplasm, denoted as New Mexico Acala group. This group can be further divided into six subgroups on the basis of the genetic similarities (Fig. 8).


Subgroup (1)

Acala 2, 1517-5-12, 1517-BR2, and 1517-E2. This subgroup (similarity ranging from 0.784-0.835), except for Acala 2 that was also a selection from the original Acala introduction, can trace all the pedigree to Acala 1517. In addition, 1517-BR2 and 1517-E2 had G. barbadense (Pima or/and Tanguis) germplasm introgression.

Subgroup (2)

Acala 1517(NM), 1517D, 1517-75, 1517C, 1517-91, and 1517-SR3. In this group, 1517C was a breeding line selected from a cross between two selections from 1517 and it produced 1517D with G. barbadense introgression (JC between C and D = 0.883). Gossypium barbadense germplasm introgression into 1517 selection also gave rise to 1517V, the first Verticillium wilt tolerant cultivar. The same 1517 selection resulted in Acala 1517-75 when crossed with DP 14 germplasm. Acala 1517V gave rise to 8874 that in turn produced 1517-91 when crossed with a selection from 1517-70. Selection from Acala 1517D also produced Acala SJ-1 and SJ-2. 1517V, 1517-75, and 1517-91 were related through breeding line 2503, which was a selection from 1517. Acala 1517C was more similar to Acala 1517-75 and 1517-91 (JC = 0.835 and 0.918, respectively) than Acala 1517D was (JC = 0.802 and 0.847, respectively). 1517-SR3 had 1517-E1 background which was derived from a cross involving 3080.

Subgroup (3)

Acala 1517-70, 1517-77BR, and 1517-88. 1517-70 had Hopicala background and 1517-77 was its direct selection which in turn gave 1517-77BR via direct selection. Acala 1517-88 was developed from a cross of 1517-77BR and DP 70. However, 1517-88 and 1517-77BR were highly similar (JC = 0.931), while 1517-77BR was less similar to 1517-70 (JC = 0.835).

Subgroup (4)

Acala 1481.

Subgroup (5)

Acala 1517-99. It has Acala 9136 in the pedigree which gave 3080. 9136 had significant G. barbadense germplasm introgression. 1517-E2 also had 3080 background, but it was not close to Acala 1517-99, although they fell into the same large NM Acala group.

Subgroup (6)

Acala SJ-3 and Acala Young. Acala SJ-3 had 1517V in its pedigree, and 1517V can be traced back to Acala 1517 which was a selection from Acala Young.

The second group involved cultivars from both New Mexico and California, including Acala 51, Acala 4-42, Acala SJ-2, Acala 1517WR, Acala Mesilla Valley, and Acala Maxxa (Fig. 8). This is referred to as NM/CA group. Acala 51 was derived from a cross between a selection from Acala 8 and a Delta upland cotton type (Missdel). Acala 8 was a direction selection from the original Acala introduction (1908) which gave rise to Acala 9 which in turn produced Acala 1517. However, Acala 51 was not grouped together with Acala 8. SJ-2 and Maxxa were related to Acala 51 through 1-2302 in its pedigree. Acala 4-42 was a direct selection from Acala 1517 in California. Acala 1517-5-17 and Acala 1517WR were re-selections from 1517. Acala Mesilla Valley was a selection from selection derived from Watson.

The third group included Acala 44WR and 1517-95 (Fig. 8). Zhang et al. (2005) reported that the four most recently released New Mexico Acala cultivars (1517-95, 1517-99, 1517-02, and 1517-03) were as dissimilar to one another as to commercial cultivars from other sources. Compared with other commercial cultivars, Acala 1517-99 was more similar to Acala 1517-95 since both had a common ancestor germplasm (Acala 9130) in their pedigrees. Both were also relatively similar to 1517-03, but these three were highly dissimilar to 1517-02, even though 1517-02 had 1517-95 in its pedigree. In the present study where more than 30 Acala germplasm lines were genotyped, 1517-95 was not grouped together with 1517-99, although they were grouped together with most of the other Acala germplasm to form a giant Acala family.

The fourth group included Acala Original, TM-1, and Acala 1064 (Fig. 8). Acala 1064 was a selection from Young, but it was not grouped with its decedents. Acala 1064 was most distant from other Acala germplasm, but relatively closer to TM-1 and Acala Original (JC = 0.77-0.78). This could indicate that the earlier Acalas were more similar to DP types before germplasm from Pima, Tanguis and Triple Hybrid was introduced into Acalas.

Other germplasm, Acala 8, Acala SJ-4, Acala Hopi 76-18-1, and NM 24016, each formed separate groups (Fig. 8). SJ-4 had the Triple Hybrid background. Hopicala had Hopi and Acala 1517 backgrounds. Acala 8 was a direct selection from Acala (1906) and it was also contained in the pedigree of SJ-4. However, SJ-4 contained complex germplasm sources including Pima, Tanguis, and Triple Hybrid backgrounds. Therefore, this California Acala cultivar was distant from others and formed a separate group. Acala 2, 8, and 51 were generally distant from other Acala genotypes, but closer to other California and earlier Acala germplasm. Acala Hopi was the most dissimilar to others with JC ranging from 0.62 to 0.77, indicating that this germplasm is the most diverse germplasm in Acala cotton.


Comparing the performance of obsolete and current cultivars and analyzing annual variety trials not only provide detailed information on genetic gain in yield and fiber quality improvement, but also shed light into trends of trait changes over time. This should enable breeders and geneticists to evaluate breeding progress that has been achieved, and review and design their breeding strategies in terms of parental line selection, population development, and selection methods. Annual variety trials usually have more than 2 yr data across multiple locations, which provide reliable estimates on performance of newly released cultivars and breeding lines, and also can accommodate many more lines to be compared. However, the drawbacks are that (i) at least two common standard cultivars should be used during consecutive testing years and (ii) genotype x environment interaction could have different effects on performance of different cultivars. Furthermore, this analysis assumes that tested cultivars and standards have similar linear responses to environments, so that yield and other traits for tested cultivars can be linearly adjusted on the basis of the common standards. Thus, historical yield data over years have these limitations and do not necessarily represent genetic gain over time when regression analysis is conducted. The most appropriate way of assessing the true yield potential in all the genotypes is to evaluate them in the same environments across years and locations. Further field tests will be conducted to estimate more accurately the genetic gains sustained in the Acala cotton germplasm. However, since the most current production practices will be followed, to which new cultivars are more adapted, the yield potential for obsolete cultivars could be underestimated.

After comparing obsolete and modern cotton cultivars grown in the Mississippi Delta, Bridge et al. (1971) and Bridge and Meredith (1983) indicated that higher-yielding modern cultivars had higher lint percentage, smaller bolls and seed, and higher micronaire values. Yield improvement over time was mainly due to the increase in lint percentage, number of bolls per plant, and early maturity (Bridge et al., 1971; Hoskinson an, Stewart, 1977; Wells and Meredith, 1984c; Culp and Green, 1992). Fiber length and strength showed little change over time, except that fiber strength in the Pee Dee germplasm was enhanced (Culp and Green, 1992). In the present study, on the basis of the data available from annual yield trials in New Mexico, our analysis shows that lint yield and lint percentage in Acala 1517 cotton have been steadily increased at an annual rate of 1.4 and 0.04% between 1930 and 2004, respectively, while boll size and seed index have been gradually reduced since the 1960s. Yield improvement can be divided into two periods, 1930 to 1982 and 1982 to 2004 (Fig. 1). In the first period, the genetic gain in yield improvement was 0.77% per year, which agreed with the estimated national average (0.74%) by Meredith and Bridge (1982). However, because of the long-lasting concerted effort of four scientists including three breeders--geneticists and one agronomist in the 1980s, the breeding progress in yield improvement was accelerated and the trend has been maintained since the 1990s. The genetic gain in lint yield improvement was estimated to be 3.1% in the second period. Fiber strength has also been improved since the 1960s, which has been accompanied by steady increase in micronaire values. However, fiber length in Acala 1517 cultivars tended to decline from 30.99 to 29.98 mm from 1960 to 1990, whereas newly released Acala 1517 cultivars (Acala 1517-95, 1517-99, 1517-02, 1517-03, and 1517-04) have fiber greater than 30.48 mm. Therefore, our analysis on the statewide annual variety trials generally agrees with the previous findings for other regions. However, no yield plateau in the breeding program has been noticed. In fact, an accelerated genetic gain in yield improvement in New Mexico Acala cotton germplasm has been achieved since the early 1980s.

According to the data provided by Culp and Green (1992), the number of seed per boll remained unchanged, while seed size was gradually decreased. Intuitively, this should have resulted in decrease in total seed surface area per boll for lint fiber production. Since fiber length is largely unchanged, increased lint percentage in modern cultivars was either due to more fibers per boll (or per seed) or heavier fiber (coarser) or both. On the basis of our analysis, lint percentage and micronaire value have been concurrently increased over years, whereas fiber length did not follow the same pattern. Therefore, coarser not longer fiber was the main contributing factor to higher lint percentage in the New Mexico Acala cotton germplasm improvement. Historically, obsolete Acala cotton had significantly larger bolls and seed, finer fiber, and lower lint percentage than other short staple commercial cultivars. However, the newly released high-yielding Acala cotton cultivars have relatively small boll and seed size, and high lint percentage and micronaire readings. Even though their yield potential has been substantially increased, the tendency in unintentionally reducing seed size and fiber fineness could be a concern. Efforts in cotton breeding should be taken to prevent new cultivars from further increase in micronaire.

How to increase lint yield in Acala cotton while maintaining its current high lint percentage and fiber quality presents a tremendous challenge. First, increasing boll number per plant or per unit planting area should be given more attention since the other two yield components, boll size and lint percentage cannot be unrestrictedly increased. Studies by Wells and Meredith (1984a, 1984b, 1984c) and Meredith and Wells (1989) have provided some clues for further improving cotton yield. They found that high yield in modern cultivars was due to two mechanisms in selection processes: (i) greater dry matter was partitioned into reproductive organs and therefore higher harvest index and (ii) greater reproductive organs (squares, flowers, and bolls) were produced during early reproductive development stage. Meredith and Wells (1989) suggested that "yield increases through the use of conventional breeding methods are likely to be achieved through continued partitioning of dry matter from vegetative to reproductive structure." Wells and Meredith (1984a) and Heitholt et al. (1998) indicated that leaf area indices and net assimilation rates were not responsible for yield improvement in modern cultivars under different conditions (e.g., years, locations, and nitrogen levels). However, Pettigrew and Meredith (1994) showed a significant positive but small association between lint yield and leaf C[O.sub.2]-exchange rate on 18 cotton genotypes during the boll filling period, indicating that some cotton breeders may have inadvertently selected for increased photosynthesis while breeding for higher yielding genotypes. Lu et al. (1994) and Faver et al. (1997) reported that modern high-yielding Pima cultivars had reduced leaf area, greater photosynthetic capacity, and greater stomatal conductance than obsolete cultivars under semiarid field and water stress conditions. Therefore, photosynthetic rate can be increased to develop new high-yielding Acala cultivars. In the arid and semiarid Southwest USA including New Mexico, abiotic stresses, such as drought and heat are constantly encountered during cotton growing season. Cotton productivity is limited because of the heat stress, which results in insufficient plant growth and abscission of reproductive organs (mainly young bolls). Improving heat tolerance in Acala cotton to reduce boll abscission during the heat stress would substantially increase number of bolls per plants, thus improve lint yield. In New Mexico, Verticillium wilt and root-knot nematodes [Meloidogyne incognita (Kofoid and White) Chitwood] each causes about 5% yield loss (Blasingame and Patel, 2003). Therefore, breeding and growing Acala cotton cultivars that are resistant or tolerant to these biotic stresses should also help cotton realize its yield potential.

The second strategy is to increase the number of fibers per boll or per seed. Boll size is composed of seed number, seed size, number of fibers per seed, fiber length, and micronaire, i.e., unit weight per unit length fiber. Seed number per boll is limited by total ovules and reducing ovule abortion can increase number of mature seed, but the room is very limited. As indicated previously, seed size might not be further reduced. Micronaire should be maintained or reduced; otherwise, its further increase could result in a penalty in fiber pricing. Even though longer fibers could increase fiber yield, fiber length beyond a certain point is negatively associated with lint yield. Therefore, improving fiber length is not a viable option for yield improvement. This only leaves one option open, i.e., increasing number of fibers per seed or per boll. This could lead to an increase in boll size or/and lint percentage if seed size and other boll components are not altered. Cotton genotypes differ in number of fiber initials and mature fibers, and short fiber content (Bowman et al., 2001). To achieve the goal of increasing number of lint fibers, cotton breeders can either increase the number of lint fiber initials or reduce the short fiber content, or both. Van't Hof (1998) developed a technique that makes it possible to count the number of fiber cell initials on the ovules. However, a reliable and simple method in measuring fiber number is needed for practical use. Currently, the number of fibers per seed can be estimated indirectly on the basis of lint index, fiber length, and micronaire.

The earlier Acala germplasm were mainly reselections from introductions of Mexico, which did not have known germplasm introgression from G. barbadense. Interspecific hybridization with Triple Hybrid and G. barbadense including Sealand, Pima, and Tanguis was evident in perhaps the late 1930s and 1940s, and out-crossing with G. barbadense also was frequent, which resulted in Acala cotton germplasm with Verticillium wilt tolerance and better fiber quality. The SSR marker data showed that the more recently released Acala germplasm seemed to contain more common SSR markers with Pima 3-79, while they are more distant from TM-1 (JC = 0.67-0.76). Early Acala cotton germplasm were closer to TM-1 (JC = 0.72-0.80), and Acala Original and 1064 were even grouped with TM-1. On average, the Acala cotton shared 2/3 more SSR markers with Pima 3-79 than did TM-1. Thus, the limited molecular marker data support the notion based on the breeding history that Acala germplasm developed since the 1940s indeed contained genetic introgression from G. barbadense.

Another surprising note is that Acala Hopi and NM 24016 were consistently distant to other Acala germplasm (JC = 0.62-0.76 and 0.47-0.63, respectively), indicating their significant divergence from other Acala cottons. NM 24016 was an upland cotton type developed from interspecific hybridization between upland and G. barbadense (Cantrell and Davis, 2000). On the basis of the rDNA and AFLP marker data, Pillay and Myers (1999) even grouped NM 24016 together with G. barbadense but not with Acala SJ-2.

It should be pointed out that we chose SSR markers (about 1/3 of the BNL SSR markers) that produced a higher level of polymorphism within Upland cotton on the basis of our previous studies (Zhang et al., 2005). One may argue that the polymorphic SSR markers used in the present study were not enough to cover the cotton genome to reliably infer the genetic relationships between Acala germplasm. Even though more than 2000 SSR primers for cotton from other sources have been developed, their full accessibility is still not free. Also, their chromosomal locations are yet revealed that would impose difficulties in marker selection for a good genome coverage. Furthermore, their extremely low level of polymorphism within Upland cotton (1-5%, Ulloa, personal communication) suggests that obtaining adequate intraspecific polymorphic DNA markers is still a tremendous task. This explains the unavailability of even a genome-wide framework map within Upland cotton. Addition of more markers should certainly increase the reliability of genetic distance analysis. But the polymorphic SSR markers used in the present study can well discriminate the Acala germplasm and divide them into four major groups, indicating that the polymorphic markers had sufficient resolution power. One should also realize that monomorphic markers should not be discounted in genetic diversity studies since genetic distances are determined by both monomorphic (indicating similarity) and polymorphic (indicating dissimilarity) markers. The selection of the SSR markers on the known cotton chromosomes was relatively even, which should provide a framework genome coverage to determine the genetic distances among Acala germplasm. Since many BNL SSR primers did not produce polymorphism, the genetic distance obtained from the selected SSR markers was understandably higher than the tests that used randomly chosen markers. Randomly chosen DNA markers may be more accurately estimate genetic similarities if they are evenly distributed over the cotton genome. However, their genome locations are unknown in most cases because they are not mapped. Of course, the selection of markers could produce bias in overestimating the genetic diversity, but the tendency of genetic relationships between the Acala germplasm tested in the present study should remain mostly unchanged.

The Acala 1517 cotton germplasm developed from the New Mexico cotton breeding program contain desirable genes for large boll and seed size, high vigor, Verticillium wilt tolerance, and fine fiber quality. They also are most genetically diverse from other current commercial cultivars and should be promising sources in breeding to be used as parental lines to broaden genetic variations within upland cotton.


The research reported in this paper was in part funded by USDA-ARS and New Mexico Agricultural Experiment Station. The authors also thank Drs. Freddie M. Bourland, Daryl T. Bowman, Roy G. Cantrell, O. Lloyd May, and William R. Meredith, Jr. for their critical review and constructive comments on an earlier version of this paper.


Barnes, C.E., D.D. Davis, N.R. Malm, C.L. Roberts, and R.L. Wood. 1980. Registration of Acala 1517-77 upland cotton. Crop Sci. 20:113.

Bassett, D.M., and A.H. Hyer. 1985. Acala cotton in California: 60 years of varietal development, p. 76. In Proc. Beltwide Cott. Prod. Res. Conf., New Orleans, LA, 6-11 Jan. 1995. Natl. Cotton Council Am., Memphis, TN

Blasingame, B., and V. M. Patel. 2003. Cotton Disease Loss Estimate Committee Report. p. 252-253. In Proc. Beltwide Cott. Conf., Nashville, TN, 6-10 Jan. 1995. Natl. Cotton Council Am., Memphis, TN

Bowman, D.T., O.L. May, and D.S. Calhoun. 1996. Genetic base of upland cotton cultivars released between 1970 and 1990. Crop Sci. 36:577-581.

Bowman, D.T., G.A. Van Esbroeck, J. Van't Hof, and G.M. Jividen. 2001. Ovule fiber cell numbers in modern upland cottons. J. Cotton Sci. 5: 81-83.

Bowman, D.T., and O.A. Gutierrez. 2003. Sources of fiber strength in the U.S. Upland cotton crop from 1980 to 2000. J. Cotton Sci. 7:164-169.

Bridge, R.R., W.R. Meredith, Jr., and J.F. Chism. 1971. Comparative performance of obsolete varieties and current varieties of upland cotton. Crop Sci. 11:29-32.

Bridge, R.R., and W.R. Meredith, Jr. 1983. Comparative performance of obsolete and current cotton cultivars. Crop Sci. 23:949-952.

Cantrell, R.G., C.L. Roberts, D.D. Davis, C.E. Barnes, and N.R. Maim. 1992a. Registration of 'Acala 1517-91' cotton. Crop Sci. 32: 831-834.

Cantrell, R.G., C.L. Roberts, D.D. Davis, C.E. Barnes, and N.R. Malta. 1992b. Registration of 'Acala 1517-SR3' cotton. Crop Sci. 32:1295.

Cantrell, R.G., C.L. Roberts, and C.E. Barnes. 1995. Registration of 'Acala 1517-95' cotton. Crop Sci. 35:1227-1228.

Cantrell, R.G., C.L. Roberts, and C. Waddell. 2000. Registration of 'Acala 1517-99' cotton. Crop Sci. 40:1200-1201.

Cantrell, R.G., and D.D. Davis. 2000. Registration of NM24016, an interspecific-derived cotton genetic stock. Crop Sci. 40:1208.

Culp, T.W., and C.C. Green. 1992. Performance of obsolete and current cultivars and Pee Dee germplasm lines of cotton. Crop Sci. 32:35-41.

Davis, D.D., N.R. Malm, G. Staten, R.L. Wood, and G.N. Stroman. 1978a. Registration of Acala 1517C cotton. Crop Sci. 18:163.

Davis, D.D., N.R. Malm, C.L. Roberts, C.F. Chew, C.E. Barnes, G. Staten, and R.L. Wood. 1978b. Registration of Acala 1517-70 cotton. Crop Sci. 18:164.

Davis, D.D., N.R. Malm, C.L. Roberts, C.F. Chew, C.E. Barnes, and R.L. Wood. 1978c. Registration of Acala 1517E-1 cotton. Crop Sci. 18:165.

Davis, D.D., N.R. Malm, C.L. Roberts, and C.E. Barnes. 1980. Registration of Acala 1517E-2 cotton. Crop Sci. 20:113.

Faver, K.L., T.J. Gerik, and R.G. Percy. 1997. Modern Pima cultivars have higher photosynthetic capacity than obsolete varieties, p. 1499-1502. In Proc. Beltwide Cott. Conf. New Orleans, LA, 7-10 Jan. 1997. Natl. Cotton Council Am., Memphis, TN

Heitholt, J.J., W.R. Meredith, Jr., and S.T. Rayburn. 1998. Leaf area index response of four obsolete and four modern cotton cultivars to two nitrogen levels. J. Plant Nutr. 21:2319-2328.

Hoskinson, P.E., and J.M. Stewart. 1977. Field performance of two obsolete cotton cultivars, p. 78-79. In Proc. Beltwide Cotton Res. Conf., Atlanta, GA. 10-12 Jan. Natl. Cotton Council Am., Memphis, TN

Kohel, R.J., T.R. Richmond, and C.F. Lewis. 1970. Texas Marker-1. Description of a genetic standard for Gossypium hirsutum L. Crop Sci. 10:670-671.

Lacape, J.M., T.B. Nguyen, S. Thibivilliers, B. Bojinov, B. Courtois, R.G. Cantrell, B. Burr, and B. Hau. 2003. A combined RFLP-SSR-AFLP map of tetraploid cotton based on a Gossypium hirsutum x Gossypium barbadense backcross population. Genome 46:612-626.

Lewis, H. 2001. A review of yield and fiber quality trends and components in American upland cotton, p. 1447-1453. In Proc. Beltwide Cotton Res. Conf., Anaheim, CA. 9-13 Jan. 2001. Natl. Cotton Council Am., Memphis, TN

Liu, S., R.G. Cantrell, J.C. McCarty, Jr., and J.M. Stewart. 2000a. Simple sequence repeat-based assessment of genetic diversity in cotton race stock accessions. Crop Sci. 40:1459-1469.

Liu, S., S. Saha, D. Stelly, B. Burr, and R.G. Cantrell. 2000b. Chromosomal assignment of microsatellite loci in cotton. J. Hered. 91:326-332.

Lu, Z.M., J.W. Radin, E.L. Turcotte, R. Percy, and E. Zeiger. 1994. High yields in advanced lines of Pima cotton are associated with higher stomatal conductance, reduced leaf area and lower leaf temperature. Physiol. Plant. 92:266-272.

Malm, N.R., R.L. Wood, C.E. Barnes, and C.L. Roberts. 1975. Variety tests of American Upland cotton, 1965 to 1974. p. 1-9. New Mexico State University, Las Cruces.

Malm, N.R., D.D. Davis, C.L. Roberts, C.E. Barnes, R.L. Wood, and G. Staten. 1978a. Registration of Acala 1517V upland cotton. Crop Sci. 18:163-164.

Malm, N.R., D.D. Davis, C.L. Roberts, C.E. Barnes, R.L. Wood, and G. Staten. 1978b. Registration of Acala 1517-75 upland cotton. Crop Sci. 18:164-165.

Malm, N.R., C.E. Barnes, D.D. Davis, and C.L. Roberts. 1984. Registration of Acala 1517-SR1 upland cotton. Crop Sci. 24:382-383.

Malm, N.R., C.E. Barnes, C.L. Roberts, and D.D. Davis. 1987. Registration of Acala 1517-SR2 upland cotton. Crop Sci. 27:382-383.

May, O.L., D.T. Bowman, and D.S. Calhoun. 1995. Genetic diversity of U.S. Upland cotton cultivars released between 1980 and 1990. Crop Sci. 35:1570-1574.

May, O.L. 2001. Registration of PD 94045 germplasm line of Upland cotton. Crop Sci. 41:279-280.

Meredith, W.R., Jr., and R.R. Bridge. 1982. Genetic contributions to yield changes in cotton, p. 75-87. In W.R. Fehr (ed.) Genetic contributions to yield gains of five major crop plants. CSSA Spec. Publ. 7. ASA, Madison, WI.

Meredith, W.R., Jr., and R. Wells. 1989. Potential for increasing cotton yields through enhanced partitioning to reproductive structures. Crop Sci. 29:636-639.

Meredith, W.R., Jr. 2000. Cotton yield progress-why has it reached a plateau. Better Crops 84:6-9.

Pettigrew, W.T., and W.R. Meredith, Jr. 1994. Leaf gas exchange parameters vary among cotton genotypes. Crop Sci. 34:700-705.

Pillay, M., and G.O. Myers. 1999. Genetic diversity in cotton assessed by variation in ribosomal RNA genes and AFLP markers. Crop Sci. 39:1881-1886.

Roberts, C.L., N.R. Malm, D.D. Davis, and C.E. Barnes. 1982. Registration of Acala 1517-77BR upland cotton. Crop Sci. 22:382.

Roberts, C.L., N.R. Malm, D.D. Davis, and C.E. Barnes. 1988. Registration of Acala 1517-88 cotton. Crop Sci. 28:190-191.

Smith, C.W., R.G. Cantrell, H.S. Moser, and S.R. Oakley. 1999. History of cultivar development in the United States. p. 99-171. In C.W. Smith and J.T. Cothren (ed.) Cotton: Origin, history, technology and production. John Wiley & Sons, Inc.

Staten, G. 1970. Breeding Acala 1517 cottons, 1926-1970. Memior Series #4, New Mexico State University, Las Cruces.

Van't Hof, J. 1998. Production of micronucleoli and onset of cotton fiber growth. Planta 205:561-566.

Wells, R., and W.R. Meredith, Jr. 1984a. Comparative growth of obsolete and modern cotton cultivars. I. Vegetative dry matter partitioning. Crop Sci. 24:858-862.

Wells, R., and W.R. Meredith, Jr. 1984b. Comparative growth of obsolete and modern cotton cultivars. II. Reproductive dry matter partitioning. Crop Sci. 24:863-868.

Wells, R., and W.R. Meredith, Jr. 1984c. Comparative growth of obsolete and modern cotton cultivars. III. Relationship of yield to observed growth characteristics. Crop Sci. 24:868-872.

Zhang, J.F., and J. McD. Stewart. 2000. Economical and rapid method for extracting cotton genomic DNA. J. Cotton Sci. 4:193-201.

Zhang, J.F., Y. Lu, and R.G. Cantrell. 2005. Molecular marker diversity and field performance in commercial cotton cultivars evaluated in the Southwest U.S. Crop Sci. 45:1483-1490.

J. F. Zhang, * Y. Lu, H. Adragna, and E. Hughs

J.F. Zhang, Y. Lu, and H. Adragna, Dep. of Agronomy and Horticulture, Box 30003, New Mexico State Univ., Las Cruces, NM 88003; E. Hughs, USDA-ARS, Southwestern Cotton Ginning Research Lab., Mesilla Park, NM 88003. Received 11 Feb. 2005. * Corresponding author (
Table 1. Acala 1517 cotton cultivars released.

Cultivar                              released        Pedigree

Acala Young ([dagger])                  1929     Watson's
College Acala                           1930     Acala P12
Acala 1064 ([dagger])                   1937     Acala Young
Acala 1517 ([dagger])                   1939     Acala 1064
Acala 1517A                             1941     Acala 1064
Acala 1517WR                            1946     Acala 1517
Acala 1517B                             1949     Watson's Acala
Acala 1517C (7133)                      1951     NM 1544 x NM 1577
Acala 1517C (8893)                      1954     Reselection from 7133
Acala 1517BR                            1954     ST 20/Acala/1517WR/
                                                   Acala 1517B
Acala 1517-BR1                          1957     Acala 1517BR/Acala
Acala 1517C (1028) ([dagger])           1958     Reselection from 7133
Acala 1517D ([dagger])                  1960     A cross of two strains
                                                   of unknown parentage
Acala 1517-BR2 (B479)                   1961     (8373/ST 20)/Acala
                                                   216/(Acala 49/
Acala 1517V (6612)                      1964     Acala 2503/Coquette
Acala 1517-BR2 (60-209B) ([dagger])     1965     Reselection from Acala
Hopicala                                1965     Acala 1517 selection
Acala 3080                              1968     9136/49W
Acala 1517V (9450) ([dagger])           1969     Acala 2503/Coquette
Acala 1517-70 ([dagger])                1970     B1413/Hopicala
Acala 1517-75 ([dagger])                1975     Acala 688/Acala 9608
Acala 1517-77                           1977     Reselection from Acala
Acala 1517-77BR ([dagger])              1982     Selection from Acala
Acala 1517-E1                           1976     Acala 3080/PD 2165
Acala 1517-E2 ([dagger])                1978     Selection from Acala
                                                   1517 E-1
Acala 1517-SR1                          1982     Acala 1517-E1/Unknown
Acala 1517-SR2                          1986     Acala 1517-E1/Unknown
Acala 1517-SR3 ([dagger])               1990     Acala 1517-E1/Unknown
Acala 1517-88 ([dagger])                1988     Acala 1517-77BR/DP 70
Acala 1517-91 ([dagger])                1991     Acala 8130/Acala 8874
Acala 1517-95 ([dagger])                1995     From 1517-E2
Acala 1517-99 ([dagger])                1999     B742/E1141
Acala 1517-02                           2004     Prema/(Acala 1517-95/
Acala 1517-03                           2004     B4222/H1014
Acala 1517-04                           2004     Acala 1517-95/87D3-24

Cultivar                                      Reference

Acala Young ([dagger])                Staten, 1970
College Acala                         Staten, 1970
Acala 1064 ([dagger])                 Staten, 1970
Acala 1517 ([dagger])                 Staten, 1970
Acala 1517A                           Staten, 1970
Acala 1517WR                          Staten, 1970
Acala 1517B                           Staten, 1970
Acala 1517C (7133)                    Staten, 1970; Davis et al., 1978c
Acala 1517C (8893)                    Staten, 1970
Acala 1517BR                          Staten, 1970
Acala 1517-BR1                        Staten, 1970
Acala 1517C (1028) ([dagger])         Staten, 1970; Davis et al., 1978c
Acala 1517D ([dagger])                Staten, 1970
Acala 1517-BR2 (B479)                 Staten, 1970
Acala 1517V (6612)                    Staten, 1970; Maim et al., 1978a
Acala 1517-BR2 (60-209B) ([dagger])   Staten, 1970
Hopicala                              Staten, 1970
Acala 3080                            Staten, 1970
Acala 1517V (9450) ([dagger])         Staten, 1970
Acala 1517-70 ([dagger])              Staten, 1970; Davis et al., 1978b
Acala 1517-75 ([dagger])              Maim et al., 1978b
Acala 1517-77                         Barnes et al., 1980
Acala 1517-77BR ([dagger])            Roberts et al., 1982
Acala 1517-E1                         Davis et al., 1978c
Acala 1517-E2 ([dagger])              Davis et al., 1980
Acala 1517-SR1                        Maim et al., 1984
Acala 1517-SR2                        Maim et al., 1987
Acala 1517-SR3 ([dagger])             Cantrell et al., 1992
Acala 1517-88 ([dagger])              Roberts et al., 1988
Acala 1517-91 ([dagger])              Cantrell et al., 1992
Acala 1517-95 ([dagger])              Cantrell et al., 1995
Acala 1517-99 ([dagger])              Cantrell et al., 2000
Acala 1517-02                         Zhang et al., unpublished data
Acala 1517-03                         Zhang et al., unpublished data
Acala 1517-04                         Zhang et al., unpublished data

([dagger]) Used for SSR fingerprinting.

Table 2. Linear regression between year released and trait performance
in Acala 1517 cultivars.

Traits                    Period       Slope    Correlation    n

Yield (% 1517-V)         1930-2004    1.4390    0.9261 **      21
                         1930-1982    0.7730    0.9501 **      13
                         1982-2004    3.1322    0.9549 **       8
Boll size (g)            1958-2004   -0.0462   -0.9615 **      11
Seed index (g)           1969-1991   -0.0999   -0.8508 **       9
Lint (%)                 1930-2004    0.0370    0.3132         26
                         1946-2004    0.1202    0.8354 **      23
Fiber length (inch)      1961-2004    0.0001    0.0792         19
                         1961-1991   -0.0009   -0.6254 *       14
Fiber strength (g/tex)   1961-2004    0.0266    0.4172         19
Micronaire (units)       1961-2004    0.0139    0.8891 **      19

* P < 0.05.

** P < 0.01.
COPYRIGHT 2005 Crop Science Society of America
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2005 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Zhang, J.F.; Lu, Y.; Adragna, H.; Hughs, E.
Publication:Crop Science
Geographic Code:1U8NM
Date:Nov 1, 2005
Previous Article:Molecular and genetic characterization of Nicotiana glutinosa L. chromosome segments in tobacco mosaic virus-resistant tobacco accessions.
Next Article:Physiological limitations to photosynthetic carbon assimilation in cotton under water stress.

Terms of use | Privacy policy | Copyright © 2022 Farlex, Inc. | Feedback | For webmasters |