Registration of ‘Acala 1517‐99’ Cotton

Acala‐type cottons (Gossypium hirsutum L.) released from New Mexico have contributed significantly to the development of commercial upland cultivars in the United States. The objective of this study was to assess the genetic gain in the breeding program between 1926 and 2000 through a combined analysis of field data on representative Acala cultivars from New Mexico and California obtained in multiple tests over years. From 1926 (‘Acala Original’) to 2000 (‘Acala 1517‐99’), the overall lint yield improvement was estimated at 3.2 kg ha−1 yr−1 but was 6.4 kg ha−1 yr−1 in 1926 to 1970 and 10.2 kg ha−1 yr−1 in 1975 to 2000. The yield improvement was accompanied by an increase in lint percentage (from 37 to 40%), fiber strength (from 270 to 300 kN m−1 kg−1), and micronaire, but with reduced boll weight. Although there was an upward trend for fiber length and uniformity and a downward trend for short fiber content, the three traits remain stable. Comparing eight New Mexico Acala 1517 cultivars with nine California Acala cultivars bred during the same period (late 1930s to the 1970s), the former, as a group, had longer and stronger fibers but slightly lower lint percentage and elongation. The Acala 1517 cotton cultivars provide an excellent source of parental lines for developing cotton cultivars with enhanced fiber quality.

Section: Discussionmentioning

confidence: 99%

Genetic Gains of Acala 1517 Cotton since 1926

Zhang

Abdelraheem

Flynn³

2019

“…These genotypes were: 'UA 48' (ARK) (PI 660508) (Bourland and Jones, 2012), 'PSC 355' (PSC) (PI 612974), 'Acala 1517-99' (ACA) (PI 612326;Cantrell et al, 2000), MD-9 (MD9) (Meredith and Nokes, 2011), and Dever Line 8 (DEV) (unreleased experimental line from Texas A&M AgriLife Research, Lubbock). These genotypes were: 'UA 48' (ARK) (PI 660508) (Bourland and Jones, 2012), 'PSC 355' (PSC) (PI 612974), 'Acala 1517-99' (ACA) (PI 612326;Cantrell et al, 2000), MD-9 (MD9) (Meredith and Nokes, 2011), and Dever Line 8 (DEV) (unreleased experimental line from Texas A&M AgriLife Research, Lubbock).…”

Section: Methodsmentioning

confidence: 99%

Diallel Analysis of Fiber Quality Traits with an Emphasis on Elongation in Upland Cotton

Smith

Héquet

et al. 2014

The upland cotton (Gossypium hirsutum L.) industry in the United States has shifted from a domestic market to an export‐based market that mandates simultaneous improvements of yield and various fiber traits to maintain competitiveness. Fiber elongation (ability to stretch before breaking) is one of the key fiber parameters in determining yarn quality. It is a trait that is largely understudied due to an absence of monetary incentives for growers to produce high‐elongation cotton fibers. Five upland genotypes were selected as representatives of major upland cotton germplasm pools in the United States. These genotypes and their 10 F1 progenies were grown in College Station, TX, in 2010 and 2011, and fiber properties were tested in a diallel analysis. Overall, general combining ability was greater than specific combining ability for fiber elongation, suggesting the predominance of additive gene action. Two parental lines, cultivar PSC 355 and germplasm line Dever Line 8, were identified as good combiners for fiber elongation when fibers were measured with the High Volume Instrument (HVI) and the Stelometer. A highly significant negative correlation was observed between fiber upper‐half mean length and elongation, whereas a slight negative correlation was observed for elongation and strength. Stelometer and HVI readings for elongation were correlated with r value of 0.69.

“…In 1999, New Mexico Agriculture Experiment Station released Acala 1517‐99. This cultivar is the result of selections from B2541, which has a pedigree containing significant introgression from G. barbadense (Cantrell et al, 2000). FM 832, also known as Fibermax 832, is an okra‐leaf near‐long staple length cultivar bred by the Commonwealth Scientific and Industrial Research Organization (CSIRO) in Australia and is sold by Bayer CropScience in the United States.…”

Section: Methodsmentioning

confidence: 99%

“…We hypothesized that it would be more effective than classical linear regression or cross‐entropy methods for elucidating genotypic and environmental effects on fiber length distributions. As a case study, fiber length distributions of three near‐long staple upland cotton genotypes and one short staple genotype were compared to the length distribution of ‘Acala 1517‐99’ (Cantrell et al, 2000), a cultivar generally recognized as producing high quality yarn (USDA, 2004).…”

mentioning

confidence: 99%

Applying Quantile Regression to Analysis of AFIS Cotton Fiber Distribution

Gardunia¹,

Braden²,

Héquet

et al. 2008

Varying fiber length distributions of cotton, Gossypium hirsutum L., impacts its spinning performance. Advanced Fiber Information System (AFIS) facilitates the analysis of the length distribution of individual fibers in cotton. Quantile regression is a variant of standard regression with which conditional quantile values can be calculated by minimizing weighted sums of absolute deviations across the entire distribution. Quantile regression was used to analyze AFIS fiber length distribution among five genotypes of upland cotton grown at the Texas Agricultural Experiment Station Research Farm near College Station, TX during 2001 and 2002. The shape of the distribution of ‘CAMD‐E’, a short‐staple variety, was actually similar to ‘Acala 1517‐99’, a long staple variety with good spinning quality, even though CAMD‐E had consistently lower fiber lengths. ‘FM 832’, and ‘TAM 94L‐25’ had similar mean fiber lengths to Acala 1517‐99, but their distribution shape was less skewed. ‘TTU 202’ had high cross entropy values, but little difference was detected in distribution shape by quantile regression. Year had a significant impact on distribution of fiber lengths, affecting distribution scale and location, which may be due to lower fiber fineness and maturity in 2001. Quantile regression was found to be an effective method for analyzing AFIS fiber length distributions, although further testing with a larger set of genotypes and environments with spinning data is needed.