Genetic progress in cotton lint and yield components in Argentina

Scarpin, Gonzalo Joel; Dileo, Pablo Nahuel; Winkler, Horacio Martín; Cereijo, Antonela Estefanía; Lorenzini, Fernando G.; Roeschlin, Roxana Andrea; Muchut, Robertino J.; Acuña, Carlos Alberto; Paytas, Marcelo Javier

doi:10.1016/j.fcr.2021.108322

Cited by 10 publications

(6 citation statements)

References 34 publications

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“…On the other hand, the analysis between seasons showed differences in LY, LP, SCY, UHML, UI, Mic, and Rd. Altogether, average LY recorded in this study is similar to previous works conducted under experimental conditions in Argentina (Paytas & Tarrago, 2011; Scarpin et al., 2022), and it is also worth mentioning that it was above the national average of approximately 850 kg ha −1 (ICAC, 2022). The differences found in terms of LY among seasons and not among cultivars could be associated with the larger dependence of yield on environmental conditions (Meredith et al., 2012; Snider et al., 2013).…”

Section: Discussionsupporting

confidence: 90%

“…Recently, Scarpin et al. (2022) have demonstrated that the variation among environments explained close to 80% of the variation in LY and SCY in a similar environment (Scarpin et al., 2022). In addition, these and other authors have established a high genotypic dependence for LP variation (Campbell & Jones, 2005; Campbell et al., 2012) that could explain the differences among cultivars and, therefore, the minor changes of this character observed in the different environments.…”

Section: Discussionmentioning

confidence: 99%

“…Upland cotton ( Gossypium hirsutum L.) is the world's largest natural textile fiber crop, with a great economic impact and contribution to sustainable development in fiber producing and consuming countries (Khan et al., 2022; Paytas & Ploschuk, 2013; Scarpin et al., 2022). It is a perennial crop that is cultivated as annual in more than 80 countries.…”

Section: Introductionmentioning

confidence: 99%

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Delayed harvest time affects strength and color parameters in cotton fibers

et al. 2023

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Cotton (Gossypium hirsutum L.) is the most widely used natural fiber worldwide in the textile industry; thus, maintaining or even improving fiber quality is essential to produce the best quality yarn and uniform fabrics. Final fiber quality properties are determined not only by genotypes or environmental conditions during crop development but can also be affected by other postmaturity factors, such as harvesting and ginning methods, and harvest time (HT). The aim of this study is to associate the different environmental factors that affect specific lint quality traits produced by a delay in HT, also assessing cultivar effect. This field study included four cotton cultivars evaluated at seven different HTs (manual harvested) for different quality parameters. Results indicate that prolonged exposure of cotton fiber to the environment affects lint percentage (LP), strength (Str), reflectance (Rd), and yellowness (+b). Str showed a decrease of 0.02 g tex −1 day −1 from defoliant application, whereas LP, Rd, and +b presented different rates according to the season. No differences were obtained neither for length nor for fineness and maturity (micronaire) traits. In addition, the analysis of the results together with the climatic data recorded during the experiments indicated a negative correlation among Str, Rd, and +b with the number of rainy days, accumulated precipitation, and frost temperatures. Overall, this study establishes specific relationships between certain fiber characteristics and environmental conditions, being an important tool for crop management with regards to climate predictions that could help to make estimates of economic losses when the harvest is delayed.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Delayed harvest time affects strength and color parameters in cotton fibers

et al. 2023

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“…Another study by Scarpin et al. (2022) while evaluating genetic progress in cotton lint and yield components in Argentina, reported differences in lint per seed among 20 different cotton genotypes with the highest lint per seed or LI (the weight of fiber per 100 seeds) for Pra‐3 (81 mg seed −1 and LI = 8.1 g) and the lowest for DP 402 (67 mg seed −1 and LI = 6.7 g). Cotton genotypes with smaller seed size will have a higher seed surface to volume ratio but lower lint weight per seed due to fewer fibers per seed (FPS; Bednarz et al., 2007).…”

Section: Introductionmentioning

confidence: 99%

Genotypic and environmental contributions to lint yield, yield components, and fiber quality in upland cotton from Arkansas variety trials over a 19‐year period

2023

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Lint yields and their underlying yield components can be substantially influenced by genotype and environment. Thus, the objectives of the current study were to quantify genotypic and environmental contributions to lint yield, yield components, and fiber quality in multi‐site variety trials conducted in Arkansas over a 19‐year period, to identify the traits most strongly associated with lint yield, and to quantify long‐term trends in the aforementioned traits. Annual assessments included lint yield, seeds per hectare (SPH), intra‐boll yield components, and fiber quality parameters. Production environment accounted for a higher percentage of all yield variability in 15 out of 19 years. However, four years were identified in which genotypic contributions were greater than environmental contributions. Genotype was a dominant driver of variability in lint percent, lint index, seed score, seed index, fibers per seed, fiber density, fiber length, strength, and uniformity. Production environment was the dominant driver of variability in SPH, and micronaire. Correlations between yield components and yield varied substantially from year to year, even when genotype was the primary yield driver. A regression function that utilized lint index and SPH was a stronger and more consistent indicator of genotypic variation in lint yield than any single yield component. Finally, long‐term trends show that lint percent has increased significantly over the past 19 years, whereas seed index has declined 19.6% for cotton varieties with the highest lint yields.

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“…Upland cotton ( Gossypium hirsutum L.) is an herbaceous crop and the most cultivated species worldwide for the production of fiber, providing more than 90% of the world's cotton (Peixoto et al., 2021). In addition to increasing yield, the major target of breeding programs for the agricultural crops, cotton breeding programs seek to improve fiber quality traits to meet the textile industry's requirements (Scarpin et al., 2022; Shahzad et al, 2019; Teodoro et al., 2019). Searching for cotton genotypes with higher upper‐half mean length (UHML) is one of the main goals of these breeding programs (Campbell & Jones, 2005; Carvalho et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Genotype selection for fiber quality traits in cotton in the Brazilian Northeast

et al. 2022

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The search for cotton (Gossypium hirsutum L.) genotypes gathering high yield and fiber quality is the main objective of breeding programs. The objectives of this study were: (a) to verify which effects contribute the largest fraction of the total phenotypic variance of cotton fiber quality traits and (b) to recommend the best genotypes for these traits. Eight competition trials of cotton cultivars were carried out between the 2017 and 2019 seasons. Field trials were carried out in Alagoinha (crops seasons 2017, 2018, and 2019) and Barbalha (2017 and in a randomized block design with three repetitions. Fifteen genotypes developed by the cotton plant breeding program of Embrapa Algodão were evaluated. The following fiber quality traits were evaluated: fiber percentage (FP), average boll weight (BW), upper-half mean length, fiber uniformity (UNIF), short fiber index (SFI), fiber strength (STR), elongation (ELG), micronaire (MIC), and fiber maturity. Genotypic values (GVs) for the evaluated traits were estimated. The total phenotypic variance of the fiber quality traits evaluated is mostly composed of genotypic effects. Only the traits FP, BW, and ELG showed significant genotypes × sites interaction. The genotype G1 has high GVs for the traits FP, BW, fiber length, and fiber uniformity. The G15 stood out by gathering high values for UNIF, SFI, and STR.

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Genetic progress in cotton lint and yield components in Argentina

Cited by 10 publications

References 34 publications

Delayed harvest time affects strength and color parameters in cotton fibers

Delayed harvest time affects strength and color parameters in cotton fibers

Genotypic and environmental contributions to lint yield, yield components, and fiber quality in upland cotton from Arkansas variety trials over a 19‐year period

Genotype selection for fiber quality traits in cotton in the Brazilian Northeast

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