Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Selection of Genotypes and Contributing Characters to Improve Seed Cotton Yield of Upland Cotton (gossypium Hirsutum L.)

M. M. A. Ali
Cotton Research Centre, Cotton Development Board, Chowgacha, Jessore, Bangladesh.

S. Kundu
Cotton Development Board, Dhaka Region, Bangladesh.

M. F. Alam
Department of Botany, Rajshahi University, Rajshahi, Bangladesh.

B. K. Biswas
Department of Genetics and Plant Breeding, Hajee Mohammad Danesh Science and Technology

M. Hasanuzzaman
Department of Genetics and Plant Breeding, Hajee Mohammad Danesh Science and Technology

Abstract/ Executive Summary:

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 1^st (5%) flowering, days to 1^st 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%) was estimated for four characters high heritability along with high genetic advance values was 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, the genotypic correlation coefficient was higher than the corresponding phenotypic correlation coefficient due to the 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 1^st flowering, bolls plant-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 the 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.

Keywords: Heritability; Genetic advance; Correlation; Path analysis; Upland cotton

Location: Cotton Research Centre, Chowgacha, Jessore

Start Date: 00-00-2015

End Date: 00-00-2016

Program Area: Variety and Species

Commodity: Cotton

Objectives:

To assess different genetic parameters, correlation, and path analysis for seed cotton yield and yield contributing characters in diversified upland cotton genotypes.

Methodology:

The experiment was conducted at Cotton Research Centre, Chowgacha, Jessore, Bangladesh during the 2015-2016 cropping season on twenty genetically diversified upland cotton genotypes in an RCBD with three replications. The unit plot and spacing were 4.5 m x 4.5 m and 45 cm x 90 cm respectively. Two seeds /hills were planted on 1^st July 2015 and one seedling from each hill was uprooted just after completion of germination. All intercultural operations were properly carried out during the entire crop growth. Data were recorded from ten randomly selected plants on MB/P =Monopodial (vegetative) branches plant^-1, PSB/P=Primary sympodial branches plant^-1, SSB/P =Secondary sympodial branches plant^-1, MSN/P=Main stem node plant^- ¹, DFF =Days to 1^st flowering (5%), DFBS= Days to 1^st boll splitting (5%), B/P= Bolls plant^-1 SBW = Single weight (g),UBB/P= Unburst bolls plant^-1, PH =Plant height (cm), S/B =Seeds boll^-1, and SCY= Seed cotton yield (kg ha^-1). Analysis of variance (ANOVA) of the observations recorded on different characters was carried out as per the standard procedure suggested by [28]. According to [29], genotypic and phenotypic coefficients of variation were estimated based on the genotypic and phenotypic variances. The genotypic and phenotypic coefficients of variation were categorized as per the method suggested by [30]. Heritability in a broad sense and genetic advance were calculated as suggested by [31] Genotypic and phenotypic correlation coefficients were estimated through the statistical technique applied by [32]. By using the method of [33,34] significance of genotypic and phenotypic correlation coefficients was tested. Path coefficient analysis was performed using the method suggested by.

Source of Information: Asian Research Journal of Agriculture- 13(1): 31-41, 2020

Article Link (Online Journal): DOI: 10.9734/arja/2020/v13i130095

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

Finally, it can be concluded that seed cotton yield is a polygenic complex character, selection of characters without knowing genetic background would not be effective, rather misguides the breeding programs. Twelve characters under study were significantly varied but the mean performance revealed the outstanding performance of the genotype, JA-08/D followed by JA-08/C and JA-08/E. Three characters, bolls plant-¹, single boll weight, and seeds boll-¹ exhibited high heritability along with high genetic advance; further, these characters were positively and significantly correlated with seed cotton yield. Upon partitioning of genotypic correlation coefficients of eleven characters with seed cotton yield through path analysis, bolls plant-¹, single boll weight and seeds boll-¹ exerted maximum direct effects to build up positive and significant correlation with seed cotton yield. The negative effects of monopodial branches plant-¹and unburst bolls plant-¹ were not balanced by some yield contributing characters. The residual effect was negligible, so a maximum portion of variability had been exploited in the study. After complete interpretation of results, three genotypes, JA- 08/D, JA-08/C, and JA-08/E and three characters’ viz., bolls plant-¹, single boll weight, and seeds boll-¹ appeared as most outstanding for the improvement of seed cotton yield in upland cotton.

Knowledge Management: Journal