Seed Cotton Yield and Fibre Properties of F1 and F2 Hybrids of Upland Cotton

2001 ◽  
Vol 1 (1) ◽  
pp. 48-50
Author(s):  
Mohammad Jurial Balo . ◽  
Abdul Rahim Lakho . ◽  
Hidayatullah Butto . ◽  
Rehmatullah Rind .
Keyword(s):  
Upland Cotton ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Fibre Properties ◽  
Seed Cotton Yield ◽  
F2 Hybrids

scholarly journals Genetic Variability, Heritability and Correlation Studies in F2 Populations of Upland Cotton

2018 ◽  
Vol 61 (3) ◽  
pp. 136-144
Author(s):  
Muhammad Jurial Baloch ◽  
Rehana Lochi ◽  
Wajid Ali Jatoi ◽  
Abdul Wahid Baloch ◽  
Muhammad Ahmed Arain
Keyword(s):  
Upland Cotton ◽  
Block Design ◽  
Fibre Length ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Node Number ◽  
Plant Seed ◽  
Seed Cotton Yield ◽  
Fibre Traits ◽  
Selection Of

A field experiment was conducted at the experimental area of the Department of Plant Breeding & Genetics, Sindh Agriculture University Tandojam, during the year 2014-2015 in order to carry-out genetic analysis in F2 populations of upland cotton. The trial was laid-out in a Randomized Complete Block Design with four replications. The material was consisted of eight parents and ten F2 populations. The analysis of variance revealed significant differences among the parents and F2 populations for all the traits studied except that fibre length was non-significant in parents.  The results further suggested that maximum heritability, higher genetic variances coupled with more genetic gains were expressed by the F2 populations CRIS-134 ´ CRIS-508 and CRIS-134 ´ CIM-598 for 1st sympodial node number; CRIS-134 ´ Neelum- 121 and CRIS-134 ´ CRIS-508 for sympodial branches/plant;  CRIS-342 ´ FH-113 for boll weight;  CRIS- 342 ´ Neelum-121 for bolls/plant, seed cotton yield/plant, lint % and micronaire value and progenies CRIS-342 ´ MNH-886 followed by CRIS-342 ´ Neelum-121  for staple length.  These results also suggested that a number of F2 populations indicated their potential for various seed cotton yield and fibre traits. The phenotypic correlations revealed that most of the traits were significantly and positively associated with seed cotton yield/plant.  However, higher correlations of sympodial branches/plant (r = 0.69**) and bolls/ plant (r = 0.82**) with seed cotton yield indicated that both the traits are more reliable as compared to other traits for selection of higher seed cotton yields. Very interestingly, fibre traits like lint%, fibre length and micronaire were also significantly correlated with seed cotton yield, suggesting that fibre quality traits can be improved without compromising on seed cotton yield. Thus, the material under study is very promising and worthy of selection to improve many traits simultaneously.

scholarly journals Genetic analysis of yield components and fiber quality parameters in upland cotton

1970 ◽  
pp. 13-19
Author(s):  
Bilal Nawaz, Saira Sattar, Tanwir Ahmad Malik
Keyword(s):  
Upland Cotton ◽  
Phenotypic Correlation ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Seed Cotton Yield ◽  
Maximum Value ◽  
Fiber Fineness ◽  
Significant Difference ◽  
Boll Weight ◽  
Seed Index

The experiment was laid to analyze genetic features, genotypic and phenotypic correlation coefficients, path analysis with regression analysis among yield contributing traits in a selected F3 populations of upland cotton including parents. In this research experiment ANOVA showed significant difference among all individual plants in F3 populations. Monopodia per plant and bolls per plant possessed maximum value of PCV% and GCV%. Maximum broad sense heritability (≥ 90) was found in all recorded traits except seeds per boll, fiber length and lint percentage. Correlation studies revealed that Seed cotton yield positively correlated with all yield contributing traits i.e. plant height, monopodial branches per plant, Number of bolls per plant, boll weight, lint weight, seed index, lint index, seeds per boll, fiber fineness, fiber strength and fiber uniformity at both genotypic and phenotypic level whereas it depicted negative relationship with staple length. Path coefficient analysis showed that maximum direct positive effect was found of lint weight (2.6005) on seed cotton yield followed fiber fineness (1.2628), seed index (1.1449) and bolls per plant (1.0027). Regression study exhibited that maximum value of R2 for lint weight (0.9509) and boll weight (0.3735) depicted that 95.09% and 37.35% variation in the seed cotton yield, due to its relationship with lint weight and boll weight. It is concluded that there is a great genetic potential in F3 populations for mostly yield contributing traits for further enhancing yield. So those traits should be used as selection criteria during breeding for yield.

scholarly journals Selection of Genotypes and Contributing Characters to Improve Seed Cotton Yield of Upland Cotton (Gossypium hirsutum L.)

2020 ◽  
pp. 31-41
Author(s):  
M. M. A. Ali ◽  
S. Kundu ◽  
M. F. Alam ◽  
B. K. Biswas ◽  
M. Hasanuzzaman
Keyword(s):  
Correlation Coefficient ◽  
Upland Cotton ◽  
Main Stem ◽  
Research Centre ◽  
Genetic Advance ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Seed Cotton Yield ◽  
Boll Weight ◽  
High Heritability

The experiment was conducted at Cotton Research Centre, Chowgacha, Jessore during 2015-2016 with twenty genetically diverged genotypes, with a view to select desirable genotypes and important characters enhancing seed cotton yield in upland cotton. The experiment was laid out in RCBD with three replications. The unit plot size was 4.5 m x 4.5 m and the spacing, 45 cm ×90 cm. Data were recorded from randomly selected ten plants on monopodial branches plant-1, primary sympodial branches plant-1,secondary sympodial branches plant-1, main stem nodes plant-1, days to 1st (5%) flowering, days to 1st boll splitting, bolls plant-1, single boll weight (g), unburst bolls plant-1, plant height (cm), seeds boll-1, seed cotton yield (kg ha-1). The genotype JA-08/D produced the highest seed cotton yield (3430 kg ha-1) followed by two genotypes JA-08/C (3329 kg ha-1) and JA-08/E (3226 kg ha-1). Though high heritability (90.36-97.46%) were estimated for four characters but high heritability along with high genetic advance values were observed for bolls plant-1, boll weight and seeds boll-1. The moderate heritability (83.58%) with high genetic advance (48.54%) suggests seed cotton yield is controlled by additive and non-additive genetic factors. In general, genotypic correlation coefficient was higher than corresponding phenotypic correlation coefficient due to inherent potential of the genotypes for expressing the individual characters. However, six characters, secondary sympodial branches plant-1, main stem nodes plant-1, days to 1st flowering, bolls plnat-1, boll weight and seeds boll-1 showed positive and significant association. Upon partitioning the correlation coefficients of seed cotton yield with other characters confirmed significant contribution of three characters like bolls plant-1, boll weight and seeds boll- 1. Therefore, three genotypes, JA-08/D, JA-08/C and JA-08/E and three characters, bolls plant-1, boll weight and seeds boll- 1 may be considered by the breeders for improving seed cotton yield in upland cotton.

scholarly journals Yield and some agronomic parameters of upland cotton as affected by planting dates

2020 ◽  
Vol 2 (1) ◽  
pp. 37
Author(s):  
Waqas Ahmed Lashari ◽  
Salma Naimatullah ◽  
Hamza Afzal
Keyword(s):  
Plant Height ◽  
Upland Cotton ◽  
Planting Date ◽  
Research Station ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Planting Dates ◽  
Seed Cotton Yield ◽  
Average Maximum ◽  
Boll Weight

A field experiment was conducted at ICI Research Farm, Multan to evaluate the effect of different sowing dates on plant height, number of monopodia, number of sympodia, number of bolls per plant, boll weight, seed cotton yield kg/ha of two upland cotton varieties (ICI-2121 and ICI-2424) developed by ICI Pakistan Limited, Multan against a standard check variety IUB-2013 during 2019, and 2020 years.  These varieties were planted on 1st April, 15th April, 1st May, 15th May, 1st June, and 15th June, at ICI Cotton Research Station, 19-Kasi Vehari Road, Multan.  Results revealed that statistically highly significant differences in planting dates were observed for all the parameters studied except number of monopodial branches and boll weight which depicted non-significant differences. Regarding varieties and interaction between varieties and planting times, similar trend of statistical differences was observed. As regards to planting dates, generally, all the parameters under study showed their maximum performance when crop was planted on 1st May followed by 1st April planting date, whereas, minimum performance of the parameters was recorded when the crop was planted on 15th June followed by 1st June. Regarding varietal performance, on an average, maximum plant height (146cm) was observed in ICI-2121 followed by IUB-2013. Same trend of performance of varieties regarding number of monopodia and sympodia per plant was observed.  Regarding average number of bolls per plant in different varieties, it was observed that ICI-2121 produced maximum (32 bolls) followed by ICI-2424 (31 bolls) and IUB-2013 (28 bolls) irrespective of planting dates. The same trend of varietal performance regarding boll weight was recorded. When seed cotton yield (kg/ha) was evaluated, on an average of varieties, ICI-2121 produced maximum seed cotton yield (1228 kg/ha) followed by ICI-2424 and IUB-2013 which produced 1147 and 1046 kg/ha seed cotton yield respectively irrespective of planting dates. It was concluded that under agro-climatic conditions of Multan, 1st May planting date was evaluated as optimum cotton sowing time. Before or after 1st May, this study does not recommend growing cotton in this particular zone.  Among cotton varieties, ICI-2121 is recommended for sowing under this planting time being producing higher yields.

Association mapping for seed cotton yield, yield components and fibre quality traits in upland cotton (Gossypium hirsutum L.) genotypes

2017 ◽  
Vol 136 (6) ◽  
pp. 958-968 ◽  
Author(s):  
Suresh S. Handi ◽  
Ishwarappa S. Katageri ◽  
Sateesh Adiger ◽  
Mangesh P. Jadhav ◽  
Sivarama P. Lekkala ◽  
...  
Keyword(s):  
Gossypium Hirsutum ◽  
Association Mapping ◽  
Yield Components ◽  
Upland Cotton ◽  
Quality Traits ◽  
Fibre Quality ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Gossypium Hirsutum L ◽  
Seed Cotton Yield

scholarly journals Comparative transcriptome analysis between inbred and hybrids reveals molecular insights into yield heterosis of upland cotton

2020 ◽  
Author(s):  
Kashif Shahzad ◽  
Xuexian Zhang ◽  
Liping Guo ◽  
Tingxiang Qi ◽  
Lisheng Bao ◽  
...  
Keyword(s):  
Molecular Mechanism ◽  
Transcriptome Analysis ◽  
Upland Cotton ◽  
Tissue Expression ◽  
Cotton Yield ◽  
Comparative Transcriptome ◽  
Seed Cotton ◽  
Comparative Transcriptome Analysis ◽  
Seed Cotton Yield ◽  
Efficient Breeding

Abstract Background Utilization of heterosis has greatly improved the productivity of many crops worldwide. Understanding the potential molecular mechanism about how hybridization produces superior yield in upland cotton is critical for efficient breeding programs. Results In this study, high, medium, and low hybrids varying in the level of yield heterosis were screened based on field experimentation of different years and locations. Phenotypically, high hybrid produced a mean of 14% more seed cotton yield than its better parent. Whole-genome RNA sequencing of these hybrids and their four inbred parents was performed using different tissues of the squaring stage. Comparative transcriptomic differences in each hybrid parent triad revealed a higher percentage of differentially expressed genes (DEGs) in each tissue. Expression level dominance analysis identified majority of hybrids DEGs were biased towards parent like expressions. An array of DEGs involved in ATP and protein binding, membrane, cell wall, mitochondrion, and protein phosphorylation had more functional annotations in hybrids. Sugar metabolic and plant hormone signal transduction pathways were most enriched in each hybrid. Further, these two pathways had most mapped DEGs on known seed cotton yield QTLs. Integration of transcriptome, QTLs, and gene co-expression network analysis discovered genes Gh_A03G1024, Gh_D08G1440, Gh_A08G2210, Gh_A12G2183, Gh_D07G1312, Gh_D08G1467, Gh_A03G0889, Gh_A08G2199, and Gh_D05G0202 displayed a complex regulatory network of many interconnected genes. qRT-PCR of these DEGs was performed to ensure the accuracy of RNA-Seq data. Conclusions Through genome-wide comparative transcriptome analysis, the current study identified nine key genes and pathways associated with biological process of yield heterosis in upland cotton. Our results and data resources provide novel insights and will be useful for dissecting the molecular mechanism of yield heterosis in cotton

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