scholarly journals Correlation, Regression Analysis of Seed Oil Contents in Relation to Morphological Characters in Cotton

2021 ◽  
Vol 8 (3) ◽  
pp. 20-26
Author(s):  
Hafiz Muhammad Awais ◽  
Sarmad Frogh Arshad ◽  
Wajad Nazeer ◽  
Muhammad Usman ◽  
Abdul Latif Khan Tipu ◽  
...  

Cotton is the backbone of Pakistan’s economy. More than half of the export of Pakistan depends on cotton and cotton-based products. Morphological quantitative traits are important for estimation of cotton yield. In this regard, a study was conducted to evaluate the morphological responses on cotton crop at experimental farm of MNS-University of Agricultural Multan during the year 2019-2020. Four cotton varieties with different time windows (early, normal and late) were sown in a randomized complete block design (RCBD) in a split plot arrangement. Correlation and regression studies of cultivars of Gossypium and Malvaceae were analyzed for quantitative characters. Result revealed that significantly positive correlation of boll weight (r=0.211), seed volume (r=0.138), seed oil content (r=0.020) and negatively correlation with seed index (r= -0.005) was displayed by all traits with seed cotton yield, which showed that seed cotton yield was greatly influenced by all characters. Regression coefficients showed that a unit increase in seed index (b=71.375), seed volume (b=120.326), seed oil content (b=4.954) resulted into a proportional increased in seed cotton yield. In future, this study will helpful in selection program for improvement of cotton varieties towards the yield.

2016 ◽  
Vol 8 (3) ◽  
pp. 1356-1365
Author(s):  
Rakesh Choudhary ◽  
B. G. Solanki ◽  
Navin Chander Gahtyari ◽  
Tapas Paul ◽  
D. M. Patel

The present investigation was carried out to assess the expression of per se performance and heterotic effect for fibre quality and seed oil content besides seed cotton yield, studied involving ten desi cotton (Gossipium arboreum and G. herbaceaum) genotypes and their 45 cross combinations in half diallel analysis. F-1 hybrids GBhv-282 x G 27 (67.36%), GBhv- 287 x 824 (58.14%), GBhv- 282 x GAM- 173 (35.00%), GBhv- 286 x G 27 (20.50%), and GBhv- 283 x 824 (18.75%) recorded highest per se performance and significant positive standard heterosis while the maximum heterobeltiosis for seed cotton yield per plant was exhibited by the hybrid GBhv- 287 x 824(155.60 %) followed by GBhv- 282 x G 27 (151.29%) and GBhv- 282 x GAM- 173 (130.30%). Similar trend of heterosis for numbers of boll per plant were observed in above hybrids. For fibre quality traits none of the cross showed consistent high performance for all the characters. Cross GBhv- 283 x 824 was exhibited high standard heterosis for 2.5 % span length, fibre strength, fibre elongation percentage as well as for short fibre index (SFI) while cross GBhv- 286 x 824 were promising for 2.5 per cent span length, fibre strength and fibre fineness. In case of oil content intraarboreum crosses resulted as better crosses and among them cross combination 824 x GAM- 173 was best. Desi cotton hybrids are having lower fibre quality and yield. So, improvement for yield and fibre quality of diploid native varieties through heterosis breeding provided better hybrids for rainfed farming.


Author(s):  
K. H. Deshmukh V. N. Chinchane ◽  
A. V. Shinde

The present investigation entitled “Studies on Heterosis for Yield and Yield Contributing Traits in Desi Cotton (Gossypium arboreum L.) was undertaken with the objective to study the scale of heterosis over mid parent (Average heterosis), better parent (Heterobeltiosis) and standard check (Standard heterosis). The line x tester method of analysis was followed involving four females viz., PA 811, PA 839, PA 808 and PAIG 380 and six males viz. AKA 8, JLA 505, PA 812, AKA 7, PA 08 and Phule Dhanwantry for study of heterosis for various yield and yield contributing characters. The F1’s and theis parents were evaluated in Randomized Block Design with two replications. Observations were recorded on Days to 50 % flowering, Plant height (cm), Number of sympodia, Number of bolls/plant, Boll weight (g), Seed index, Seed cotton yield/plant (g) and Lint index. The magnitude of heterosis was highest for seed cotton yield per plant, which was recorded to the extent of 115.28 % over standard check PKV Suvarna in the cross PAIG 380 x AKA 8 followed by 109.68 % over standard check PKVDH 1.


2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Sara E. I. Eldessouky ◽  
A. B. A. El-Fesheikawy ◽  
K. M. A. Baker

Abstract Background Cotton breeding programs mainly focus on improving cotton fibers, but less attention has been paid by breeders to cottonseed oil improvement. Breeding cottonseed for oil content has mainly depended on phenotypic information used to select varieties with high seed oil content. The purpose of this study was to evaluate some cotton genotypes regarding their oil content and other characters related to fiber yield, in order to select genotypes with high oil content and acceptable levels of the other characters. Seventeen different genotypes of cotton were used in this study. A two-year experiment was carried out at Sids Agricultural Research Station, Beni Suef, Egypt, during 2017 and 2018, using a randomized complete block design with six replications. Seed cotton yield, lint cotton yield, boll weight, seed index, embryo index, oil % and embryo oil index characters were recorded. Results The analysis of variance results showed highly significant differences among the genotypes for all the studied traits except boll weight in season 2017. The overall cotton embryo oil % ranged from 33.40 to 40.28 among the genotypes, while the overall cotton embryo oil index ranged from 1.79 to 2.47. Maximum cotton embryo oil % was noted by the genotypes 15 [{(G83 × G80) × G89} × Australian] and 8 [(G 91 × G90) × (G 85 × G 83)], while maximum cotton embryo oil index was noted by the genotype 13 [(G 91 × G 90) × G80]. The results showed positive correlations between seed cotton yield and lint cotton yield, seed index and embryo index, seed index and embryo index oil %, embryo index and embryo index oil %, and oil % and embryo index oil %. Conclusions It could be concluded that using seed or embryo oil percentages as criteria for differentiating genotypes according to their oil content is misleading and the best efficient measure is using the seed or embryo oil indices because they depend on weight basis. Also, Genotypes 13, 15 and 8 were the best genotypes regarding oil % and they could be used in breeding programs for cotton oil improvement.


Author(s):  
V. N. Chinchane D. B. Deosarkar ◽  
K. S. Baig H. V. Kalpande

Cotton is one of the most important fiber and cash crop of India and plays a dominant role in the industrial and agricultural economy of the country. Fifty six crosses with fifteen parents and four checks viz., PKVDH 1, PKVSuvarna, NACH 12 and PA 255 were grown in Randomized Block Design with two replications. Pooled over the environments, the highest GCA effect for seed cotton yield plant was showed by line PAIG 346and also exhibited high GCA (in desirable direction) for the traits, sympodia per plant, number of bolls per plant, seed index, lint index and harvest index. Among the testers, highest GCA for seed cotton yield per plant (9.72) was reported in CNA 449.This tester showed significantly desirable GCA for the characters viz. plant height, number of sympodia per plant, number of bolls per plant, boll weight, seed index and harvest index. Pooled over the environments, among the crosses highest SCA for seed cotton yield per plant was reported in PA 740 x Digvijay. It has also exhibited significant SCA in desirable direction for days to 50 % boll bursting, number of sympodia per plant, number of bolls per plant, boll weight, seed index and harvest index. Another cross which ranked second for with high per se and high SCA for seed cotton yield per plant was PAIG 346 x DWDa 1402.It showed significantly desirable SCA for days to 50 % flowering, number of sympodia per plant, number of bolls per plant, seed index, lint index and harvest index.


2016 ◽  
Vol 8 (3) ◽  
pp. 106
Author(s):  
Habib R. Lakho ◽  
Ayaz A. Soomro ◽  
Muhammad A. R. Rashid ◽  
Shabana Memon

<p>The present investigation was aimed to determine the general combining ability of the parental lines and specific combining ability of the hybrids respectively and also heterotic effect of F<sub>1</sub> hybrids for some agro-economical traits in upland cotton. Five parent genotypes viz. NIAB-78, Chandi-95, Haridost, CRIS-134 and Shahbaz were used to generate ten F<sub>1</sub> hybrids through diallel mating design. The seeds of F<sub>1</sub> hybrids along with their parents were sown in Randomized Complete Block Design (RCBD) in three replications during 2009-10. All the traits showed highly significant variation and GCA and SCA variances were also significant for all the parameters studied. Among the parents, NIAB-78, Haridost and CRIS-134 were best general combiners for plant height, sympodial branches per plant, bolls per plant, boll weight, seed cotton yield per plant, GOT% and seed index. Cross NIAB-78×Chandi-95 was best specific combiner for plant height and bolls per plant and CRIS-134×Haridost for sympodial branches per plant. However, the hybrid Chandi-95×CRIS-134 proved best specific combiner for seed cotton yield per plant and GOT%, while NIAB-78×CRIS-134 gave maximum SCA effects for seed index.</p>


2021 ◽  
Vol 9 (3) ◽  
pp. 105-109
Author(s):  
V. J. Zapadiya ◽  

A field experiment was conducted to evaluate the 45 F1 hybrids derived from 10×10 half diallel fashion along with ten parents and one standard check GN.Cot.Hy-14 were sown in randomized block design with three replications during kharif -2017 at Cotton Research Station, Junagadh Agricultural University, Junagadh. The genetic components of variation were determined for 12 characters viz., days to 50% flowering, days to 50% boll opening, plant height (cm), number of monopodia per plant, number of sympodia per plant, number of bolls per plant, boll weight (g), seed cotton yield per plant (g), ginning percentage (%), seed index (g), lint index (g) and oil percentage (%).The estimate of the components of variation revealed significant results for both additive (D) as well as dominance effects (H1 and H2) for all the characters except plant height non-significant H2 component, but in majority of traits (except plant height, lint index) H1 was higher than D indicating dominance components were important in the inheritance of seed cotton yield and its components. The average degree of dominance (H1/D)1/2 was found to be more than unity for all the traits (except plant height, number of monopodia per plant and lint index indicating partial dominance) indicating over dominance. Asymmetrical distribution of positive and negative genes in the parents was observed for all the traits. High estimates of heritability in narrow sense was observed for days to 50% flowering, days to 50 % boll bursting, number of monopodia per plant, ginning percentage (%), lint index (g) and oil content (%) suggesting that selection based on these attribute would lead to rapid improvement. Due to preponderance of non-additive gene effects of seed cotton yield per plant and most of its component traits, heterosis breeding would also be practically feasible in cotton.


2016 ◽  
Vol 47 (6) ◽  
Author(s):  
Alubaidi & et al.

This experiment was conducted at the farm of field crop department, College of Agriculture, University of Baghdad during two summer seasons (2010 and 2011) in order to know the response of cotton var. Lashata to nitrogen levels and spacing between holes. A randomized complete block design under arrangement of split plot with four replications was used. The plant spacing; 10, 20 and 30 cm between holes and 75 cm between rows considered as main plots, while three nitrogen levels (150, 200 and 250 Kg N.ha-1) are considered as sub plots. The results showed that using 10 cm between hills were significantly superior in boll weight (3.69 and 4.26) gm.boll-1, seed cotton yield (3.03 and 3.6) t.ha-1 and lint yield (1.13 and 1.30) t.ha-1 in both seasons 2010 and 2011 respectively. While, 30 cm spacing significantly superior in number of open bolls (12.10 and 13.6) bolls.plant-1 and ginning percentage (39.05 and 37.44)% in both seasons respectively. The nitrogen fertilizer 250 kg N ha-1 was significantly superior in dehiscence bolls number, seed cotton yield, lint yield and ginning percentage in both seasons 2010 and 2011 respectively. It can be concluded that 'using 10 cm spacing between holes with 250 kg N ha-1 to achieve highest seed cotton yield.  


2018 ◽  
Vol 61 (3) ◽  
pp. 136-144
Author(s):  
Muhammad Jurial Baloch ◽  
Rehana Lochi ◽  
Wajid Ali Jatoi ◽  
Abdul Wahid Baloch ◽  
Muhammad Ahmed Arain

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.


Author(s):  
Bilal Nawaz, Saira Sattar, Tanwir Ahmad Malik

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.


Author(s):  
A. Abd El- Saber ◽  
Zeinab E. Ghareeb ◽  
M. A. Ahmed

Aims: For proposing a statistical approach to select of the most promising genotypes for peanut breeding program. Place and Duration of Study: Twenty peanut genotypes were evaluated at Matana Agricultural Station Research, Luxor governorate, Egypt during 2018 and 2019. Study Design: In a randomized complete block design with three replications. Methodology: Analysis of variance (ANOVA), correlation coefficients, factor analysis, cluster method and some genetic parameters for seed yield and its components were calculated. Results: Results revealed that significant differences among the tested genotypes for the eight studied traits. Correlation coefficients indicated that seed yield was significantly correlated with all traits except plant height. Meanwhile, factor analysis was used to remove multi-collinearity problems, to simplify the complex relationships and to reduce variables number (into three extracted factors). 100-seed weight, number of branches/plant, 100-pod weight and seed oil content (%) with seed yield/plant traits which present in the 1st factor explained 42.039% of the total variance and recorded high heritability coupled with high genetic advance %. ANOVA results for factor scores obtained (native best multi-traits data) revealed that genotypes varied significantly. Conclusion: Factor and cluster analysis agreed in grouping Ismailia 2, Intr. 267, Intr. 182, Intr. 332 and Sohag 107 to be promising genotypes to increase peanut seed yield, whereas genotypes Intr. 504 and intr. 510 could be utilized to increase peanut seed oil content %. Then, the utilization of a factor score as a variable in ANOVA analysis was more appropriate rather than the original data. Consequently, factor scores (as a native data) would be more agreeable to selection and can be employed in plant breeding programs.


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