Yield and fiber quality traits of cotton (Gossypium hirsutum L.) cultivars analyzed by biplot method

YAŞAR, Mustafa

doi:10.1016/j.jksus.2023.102632

Cited by 10 publications

(8 citation statements)

References 23 publications

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“…The variety*trait biplot technique uses the angles between the vectors of the traits to explain the relationship between two traits or a trait with other traits, and the location of the region where the cultivars are located depending on the traits (Figure 1). Many researchers have stated in different studies that there is a positive relationship between the vectors of two traits as the angle value (>0--<90°) gets narrower, and a negative relationship as the angle value (90°>-<180°) increases (Curcic et al, 2018;Yaşar and Kendal, 2022;Yaşar, 2023).…”

Section: Gge Biplot Analysismentioning

confidence: 99%

“…Many researchers have reported that this technique is beneficial in the results of their research on this subject. (Gauch, 2006;Xu et al, 2014;Movahedi et al, 2020;Khan et al, 2021;Yaşar, 2023).…”

Section: Gge Biplot Analysismentioning

confidence: 99%

“…These results are confirmed by the results of many researchers. (Jockovic et al, 2019;Ghaffari et al, 2021;Gholizadeh et al, 2022;Yaşar, 2023).…”

Section: Gge Biplot Analysismentioning

confidence: 99%

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Investigation of yield and quality parameters of some sugar beet varieties in Muş ecological conditions

YAĞMUR,

YAŞAR

2023

International Journal of Agriculture Environment and Food Sciences

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In plant production, determining the suitable varieties suitable for the location and choosing the varieties with the best performance are among the top priorities. Biplot analysis has become widespread in recent years as an important statistical technique for plant breeders and those working in agricultural research. This study was carried out according to Randomized Complete Block Design with 18 upcountry and 2 abroad registered varieties in Muş location in 2022 year. Yield and quality components were investigated. According to the results of variance analysis, it was determined that there were statistically significant differences at the level of 1% among the varieties in terms of all the traits examined. According to the average data obtained in the study; bifurcation varied between (%) 5.4-17.8, leaf yield 13.54-24.28 t ha-1, root yield 73.42-93.57 t ha-1, biological yield 90.29-118.26 t ha-1, sugar content (%) 16.2-19.0, plant juice purity 82.39- 88.10%, dry matter (%) 16.4-20.1, α-amino N (mg 100g-1) 0.0405-0.0498 and ash (%) varied between 2.49-3.35. According to the results of the research, in terms of root yield, G10 no and G14 no varieties came to the fore in terms of the most stable and examined traits. G12 no variety came to the fore in terms of sugar yield and G19 no variety in terms of sugar content. When the average data of all examined traits are evaluated together, G10, G11 and G14 no varieties are considered as the most stable varieties. However, varieties with high root yield, sugar content and sugar yield are the primary preferences of growers in sugar beet production. When all the data of the varieties used in the research are evaluated together; G2, G4, G8, G10, G11, G12, G14, G15 and G19 no varieties can be recommended for Muş ecological conditions. However, it was concluded that the study should be carried out in the following years for more decisive recommendations.

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Section: Gge Biplot Analysismentioning

confidence: 99%

Section: Gge Biplot Analysismentioning

confidence: 99%

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Investigation of yield and quality parameters of some sugar beet varieties in Muş ecological conditions

YAĞMUR,

YAŞAR

2023

International Journal of Agriculture Environment and Food Sciences

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“…Snider et al (2022) proved that low temperature during the late growth period not only affects the time of ripening, but also leads to a decrease in yield. M. Yaşar (2023) points out that the length of the cotton growing season is an economic trait. According to M. Yan et al (2021), it determines the degree to which plants adequately perceive changes in environmental conditions and depends on both it and genetic characteristics.…”

Section: Introductionmentioning

confidence: 99%

Ecological plasticity and sustainability of cotton in the Southern Steppe of Ukraine

Vozhehova,

Borovyk,

Zaiets

et al. 2023

Scientific Horizons

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Depending on the length of the cotton growing season, the area of cultivation and its highest productivity potential are determined, and the prompt ripening of raw cotton allows for home-grown harvesting and high-quality soil preparation. The purpose of this study was to identify samples adapted to the conditions of the Southern Steppe of Ukraine from the cotton gene pool. The study used methods of plant variety expertise: phenological observations, morphological studies, and evaluation of breeding material for valuable traits. Based on the study results, parental components were selected to expand the process of forming early-ripening forms and productivity of raw cotton. The ability of cotton plants to grow in extreme conditions of the Southern Steppe of Ukraine was assessed and its homogeneity or stability, the index of growing conditions, the coefficient of variation – the difference in the numerical values of the trait duration of the period “germination – beginning of flowering” of plants in varieties with different growing season and their fluctuations around the average value were determined. It was found that according to the determined plasticity (bi), the variance of stability (Si2), and the coefficient of variation of the duration of “germination – the beginning of flowering” higher tolerance to environmental factors was characterised by ultra-early ripening varieties. The average regression coefficient (bi ) was -0.36; the variation in the duration of the period by year was 10.1%, which is significantly lower compared to early-ripening varieties – -0.77% and 12.9%, mid-ripening varieties – -0.80% and 15.0%, and late-ripening varieties – -1.30% and 16.6%, respectively. The maximum average productivity to frosty raw cotton of 49.4 g/plant was formed by the sample Pidozerskyi 4 (UF0800003), the duration of the period “germination – beginning of flowering” was 47 days, and “germination – full ripening” – <103 days. The lowest raw cotton productivity of 21.2 g/plant was demonstrated by the late-ripening sample Joloten 32 (IU14056549) of Turkmen selection, the duration of the growing season of which was 145 days on average over the years of research. The findings of this study will be used in further breeding to create high-yielding cotton varieties with increased environmental plasticity and stability and highquality fibre

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“…

Cotton plays an important economic role in the global economy due to its widespread use in the textile industry and providing job opportunities in the countries where it is grown (Khan, 2013;Yaşar, 2023). Cotton (Gossypium hirsutum L.), an important species of the mallow family and cultivated in nearly a hundred countries with temperate and tropical climates, is one of the indispensable raw materials of the industrial industry.

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confidence: 99%

Investigation of generative high temperature tolerances of some cotton (Gossypium hirsutum L.) varieties

Demiray¹,

Ekinci

Bardak

2023

International Journal of Agriculture Environment and Food Sciences

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The potential of cotton genotypes to form buds, flowers and bolls is not sufficient to achieve cotton seed yield targets. Despite global warming buds, flowers and bolls that mature in cotton plants must be successfully transformed into products. However, this is related to the generative tolerance of the genotype to high temperature. In study aims to scan the negative effects of high temperature stress on the generative development on cotton varieties registered in Turkey in the last 10 years. The experiment was established in the GAP International Agricultural Research and Training Center trial field in 2020, with 4 blocks according to the Augmented design. Six standards (Tamcot Spnhix, SJU86, AGC208, ST468, ST474, Carmen) and 88 cotton varieties registered in Turkey National Variety List were used as trial material. In this study, high temperature pollen vitality stress index (HTPVSI) and high temperature shedding stress index (HTSSI) properties were investigated. According to the results of the experiments we conducted, it was determined that the HTPVSI values ranged between 0.17-1.26, the HTPVSI averages of the standards were 1.17, and the HTPVSI averages of the genotypes were 0.99. It has been determined that HTSSI values vary between 0.30-1.71. It was determined that the mean HTSSI values of the standards were 0.89 and the genotypes were 1.00. It was determined that there was a wide variation among the genotypes screened for generatively high temperature stress. Using HTSSI and HTPVSI features is recommended as a selection criterion since it is an important trait for screening genotypes in terms of tolerance or sensitivity to generative high temperature stress in cotton plants. In our study, the results were not similar to each other in terms of HTPVSI and HTSSI traits, due to the low share of flower shedding after applying HTSP (High Temperature Shock Practice: 96 hours of uninterrupted exposure to high temperature during generative periods) in the shedding rate. When the examined HTSSI and HTPVSI traits were examined together, no cotton genotypes were found to be generatively tolerant. In terms of sensitivity of genotypes to high temperature, 18 cotton genotypes were found in the medium tolerant group and 25 cotton genotypes were found in the sensitive group.

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Yield and fiber quality traits of cotton (Gossypium hirsutum L.) cultivars analyzed by biplot method

Cited by 10 publications

References 23 publications

Investigation of yield and quality parameters of some sugar beet varieties in Muş ecological conditions

Investigation of yield and quality parameters of some sugar beet varieties in Muş ecological conditions

Ecological plasticity and sustainability of cotton in the Southern Steppe of Ukraine

Investigation of generative high temperature tolerances of some cotton (Gossypium hirsutum L.) varieties

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