Lint Yield Genotype ✕ Environment Interaction in Upland Cotton as Influenced by Leaf Canopy Isolines
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SUMMARYPopulations derived from a diallel set of crosses involving five inbred Upland varieties were tested for bacterial blight resistance at Wad Medani in the Sudan and at Namulonge in Uganda. Four of the varieties carried a known B gene for resistance; no B gene was present in the fifth, which was used as a susceptible parent. The importance of genotype/environment interaction was emphasized and it was found that the B genes did not maintain the same dominance relationships at the two sites.The Reba gene, B9L, segregated as a gene or ‘effective factor’ of large effect but Mendelian segregation was not discernible in hybrid populations not involving Reba. Most of the genetic variance was accounted for by additivity and dominance. Although statistical analysis failed to reveal epistasis there was a strong interaction in the B2 × B6 cross.At Namulonge, where it was possible to test for leaf and boll resistance, the proportion of dominant and recessive alleles was the same for both phases of the disease.

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Stormproof Boll in Upland Cotton III. Genotype‐Environment Interaction and Genetic Analysis 1

Crop Science ◽

10.2135/cropsci1981.0011183x002100040008x ◽

1981 ◽

Vol 21 (4) ◽

pp. 511-514 ◽

Cited By ~ 1

Author(s):

J. E. Quisenberry ◽

R. E. Dilbeck

Keyword(s):

Genetic Analysis ◽

Upland Cotton ◽

Environment Interaction ◽

Genotype Environment Interaction

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GENOTYPE-ENVIRONMENT INTERACTION IN YIELD OF HILL COTTON GENOTYPES

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v30i2.37341 ◽

2017 ◽

Vol 30 (2) ◽

pp. 35-40 ◽

Cited By ~ 2

Author(s):

K. M. Dewan ◽

M. S. R. Bhuiyan ◽

M. G. Robbani ◽

M. Sonom

Keyword(s):

Lint Yield ◽

Environment Interaction ◽

Cotton Yield ◽

Seed Cotton ◽

Seed Cotton Yield ◽

Genotype Environment Interaction ◽

Boll Weight ◽

Two Factors ◽

Cotton Genotypes ◽

Effect On Yield

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.

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