scholarly journals STABILITY ANALYSIS FOR SEED COTTON YIELD OF NEWLY DEVELOPED UPLAND COTTON GENOTYPES

Author(s):  
S. Abro ◽  
M. T. Rajput ◽  
M. A. Sial ◽  
Z. A. Deho ◽  
M. Rizwan

Sixteen newly evolved upland cotton strains developed through conventional and mutation breeding techniques along with two commercial check varieties viz., CIM-496 and CRIS-134 were evaluated two years at five locations in province of Sindh, Pakistan. Information was recorded on seed cotton yield from all location and analyzed statistically. To assess the stability for yield between genotypes and stomata studies was performed. The results from the combine analysis of variance depicted that the mean square for seed-cotton yield for genotypes and genotype x environment interaction (G × E) were highly significant. Genotypes NIA-M-30 showed the maximum seed cotton yield (3.509 ton/ha) with low regression coefficient (b=0.893) and deviation from regression coefficient (S2d=0.015). Other four genotypes viz., NIA-80, NIA-83, NIA-Bt-2 and NIA-Perkh also produced higher yield (3.36, 3.32, 3.31and 3.25 ton/ha respectively) with regression coefficient (b=0.972, 0.918, 0.99 and 0.916 respectively) and deviation from regression coefficient (S2d=0.025, 0.003, 0.00 and 0.024 respectively), indicated wide adaptability to the range of environments. While the cotton genotypes NIA-HM-327, NIA-84 and NIA-HM48 showed high regression coefficient (b= 1.204, 1.331 and 1.291 respectively), which suggest their specific adaptation to favourable environments.

2017 ◽  
Vol 30 (2) ◽  
pp. 35-40 ◽  
Author(s):  
K. M. Dewan ◽  
M. S. R. Bhuiyan ◽  
M. G. Robbani ◽  
M. Sonom

Stability analysis helps in understanding the adaptability of genotypes over different environmental conditions and the identification of adaptable genotypes. The experiment was conducted at the Chittagong Hill Tracts (CHT) areas of Bangladesh i.e. Bandarban, Rangamati and Khagrachari during May to September 2014 to study the genotype environment interaction effect on yield of some selected hill cotton genotypes. The experiment consisted of two factors: Factor A: Location (3 locations) - L1: Bandarban; L2: Rangamati and L3: Khagrachari; Factor B: Different cotton genotypes G1: HCG-4; G2: HCG-13, G3: HCG-15, G4: HCG-21, G5: HCG-26, G6: HCG-42, G7: HCG-51 and V8: HC-1 (Check).  In case of location environment, the maximum boll per plant was recorded from Bandarban (19.13). The highest single boll weight was recorded from Bandarban (4.65 g). The highest seed cotton yield per hectare was recorded from Bandarban (1825 kg). The highest lint yield per hectare was recorded from Khagrachari (809 kg). For genotypes, maximum boll per plant (24.61), single boll weight (5.18 g), seed cotton yield per hectare (2170 kg) and lint yield per hectare (927 kg) was observed in HCG-13. In case of interaction of environments and genotypes, highest boll per plant (27.03), single ball weight (5.29 g), seed cotton yield per hectare (2170 kg), lint yield per hectare (981 kg) was observed in HCG-13 at Bandarban than the Rangamati and Khagrachari. Based on performance of eight genotypes HCG-13 followed by HCG-21 and HCG -42 was found to be highest yielder.Genotype HCG-13 was found highest yielder than the other genotypes and showed better performance at Bandarban than the Rangamati and Khagrachari.


2019 ◽  
Vol 35 (6) ◽  
Author(s):  
Damião Ranieri Queiroz ◽  
Francisco José Correa Farias ◽  
José Jaime Vasconcelos Cavalcanti ◽  
Luiz Paulo de Carvalho ◽  
Diogo Gonçalves Neder ◽  
...  

Upland cotton fiber is one of the most used natural fibers in the production of textile materials worldwide. For this reason, the selection of genotypes that meet the industry’s requirements is one of the main goals of cotton breeding programs. This study aimed to estimate the phenotypic and genotypic correlations among fiber traits and identify the direct and indirect effects of these traits on seed cotton yield of upland cotton genotypes in the semi-arid Brazilian Northeast. This study assessed 21 upland cotton genotypes from a complete diallel cross without reciprocals. The design was randomized blocks, with three replications and 21 treatments. The experiment was conducted in the municipality of Patos - PB, in 2015. The statistical analysis consisted of analysis of variance by the F test, phenotypic and genotypic correlation analysis, and path analysis. The studied materials revealed genetic variability for all traits. Path analysis has shown that the traits fiber elongation, fiber strength, and fiber fineness have a direct positive effect on seed cotton yield.


Author(s):  
Martin L. Simasiku ◽  
Davies M. Lungu ◽  
Langa Tembo

Cotton (Gossypium hirsutum L.) is an important cash crop in Zambia. The national seed cotton yield (SCY) per hectare ranges from 200-500 kg/ ha as compared to the potential of up to 2500 kg/ ha. Understanding the specific performance of several genotypes across different environments is an option, which may maximize specific genotypic performance. In addition, the performance of specific environments if known concerning specific and mean genotypic performance may guide the breeding approaches to these environments. This study therefore investigated the presence of SCY mega-production environments in Zambia and delineated the environments and identified the ideal test environment capable of discriminating yield differences among genotypes. Thirty (30) genotypes, were planted following a 6 x 5 lattice design with three replications in seven environments of Zambia. Additive main effects and multiplicative interaction (AMMI) model and genotype plus genotype by environment (GGE) biplot were used to explore the genotype by genotypic environmental interaction (GEI). Three mega environments (M1, M2 and M3) were identified. Genotype G27, G26 and G28 were the best performing genotypes in M1, M2 and M3 with overall mean SCY of 1416, 1320 and 960 kg/ ha respectively. Among the locations, Masumba was identified as an ideal test environment with mean SCY of 1249 kg/ ha. Therefore, testing seed cotton genotypic yield and selecting desirable genotypes in Masumba may be sufficient for evaluation.


2001 ◽  
Vol 1 (1) ◽  
pp. 48-50
Author(s):  
Mohammad Jurial Balo . ◽  
Abdul Rahim Lakho . ◽  
Hidayatullah Butto . ◽  
Rehmatullah Rind .

2013 ◽  
Vol 41 (1) ◽  
pp. 184
Author(s):  
Oktay EROÄžAN ◽  
Emine KARADEMIR ◽  
Çetin KARADEMIR ◽  
Aydın UNAY

The susceptibility of cotton genotypes obtained from F6 and F7 generations to Verticillium wilt (VW) disease (Verticillium dahliae Kleb.), was studied under artificial and natural infestation during 2009 and 2010 growing seasons at the Cotton Research Institute’s, Nazilli, Aydın, Turkey. In this study, fifteen cotton breeding lines and two control varieties were used as plant material. During the cotton growing season, foliar disease index (FDI), vascular disease index (VDI) and pot disease index (PDI) were observed in addition to seed cotton yield and some fiber quality characteristics. According to the obtained results, disease severity (DS) values observed in pot experiments were higher than field trials. In terms of DS, ‘Tamcot CD3H’ × ‘Tamcot Luxor-III’, ‘Maraş92’ × ‘Tamcot Sphinx’ and ‘Sayar 314’ × ‘Stoneville 453-I’ breeding lines exhibited similar values with tolerant ‘Carmen’ variety. ‘Tamcot CD3H’ × ‘Tamcot Sphinx’, ‘Sayar 314’ × ‘Stoneville 453-I’, ‘Sayar 314’ × ‘Stoneville 453-II’ and ‘Stoneville 453’ × ‘Tamcot Sphinx’ breeding lines which gave similar DS values with tolerant ‘Carmen’ variety were statistically on the same group with ‘Carmen’ variety suitable to seed cotton yield. In this study, the disease tolerant breeding lines had higher fiber strength values than susceptible lines, the lowest fiber strength value obtained from ‘Cukurova 1518’ susceptible variety.


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