Improving boll capsule wall, subtending leaves anatomy and photosynthetic capacity can increase seed cotton yield under limited drip irrigation systems

2021 ◽  
Vol 161 ◽  
pp. 113214
Author(s):  
Hongyun Gao ◽  
Nannan Li ◽  
Junhong Li ◽  
Aziz Khan ◽  
Ijaz Ahmad ◽  
...  
2017 ◽  
Vol 32 (1) ◽  
pp. 60-65 ◽  
Author(s):  
Matheus G. Palhano ◽  
Jason K. Norsworthy ◽  
Tom Barber

AbstractWith the recent confirmation of protoporphyrinogen oxidase (PPO)-resistant Palmer amaranth in the US South, concern is increasing about the sustainability of weed management in cotton production systems. Cover crops can help to alleviate this problem, as they can suppress weed emergence via allelochemicals and/or a physical residue barrier. Field experiments were conducted in 2014 and 2015 at the Arkansas Agricultural Research and Extension Center to evaluate various cover crops for suppressing weed emergence and protecting cotton yield. In both years, cereal rye and wheat had the highest biomass production, whereas the amount of biomass present in spring did not differ among the remaining cover crops. All cover crops initially diminished Palmer amaranth emergence. However, cereal rye provided the greatest suppression, with 83% less emergence than in no cover crop plots. Physical suppression of Palmer amaranth and other weeds with cereal residues is probably the greatest contributor to reducing weed emergence. Seed cotton yield in the legume and rapeseed cover crop plots were similar when compared with the no cover crop treatment. The seed cotton yield collected from cereal cover crop plots was lower than from other treatments due to decreased cotton stand.


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.


Author(s):  
Bilal Nawaz ◽  
Saira Sattar ◽  
Bilal Bashir ◽  
Muhammad Jamshaid ◽  
Khadim Hussain ◽  
...  

Background: Cotton (Gossypium hirsutum L.) is grown in more than sixty countries worldwide. It is an important fiber crop in the world. It plays a vital role in our national economy being the source of earning of foreign exchange, therefore, it is considered to be the backbone of the economy of Pakistan. In Pakistan, millions of families are associated with cotton and textile industry for their livelihood.  Results: In this experiment F2 population of the cross L. A. Frego Bract x CIM-600 and their parents was sown in randomized complete block design with three replications during normal growing season of the year 2014 to sort out best performing genotypes for yield related traits. Analysis of variance (ANOVA) revealed that parental and their F2 population showed significant differences for all the observed agronomic traits (plant height, number of monopodia branches, number of sympodial branches, number of bolls per plant, boll weight, ginning out turn, bract type, boll shape, beak size, seed cotton yield, staple length, fiber strength and fiber fineness). Estimation of correlation revealed that seed cotton yield was found positively correlated sympodial branches, fiber fineness and boll weight while ginning out turn, bract type, beak size, staple length and fiber strength were negatively associated with seed cotton yield. Epistasis was not found to be involved in any of the traits. Conclusion:  The correlation and genetics study of various yield related traits provides us useful information for effective selection and sustainable breeding programs. Estimation of broad sense heritability ( ) in F2 populations for different traits vary as following order; ginning out turn>plant height>seed cotton yield>sympodia branches>fiber length>fiber strength>bolls per plant>monopodia branches>boll weight>fiber fineness with heritability 0.90, 0.79, 0.78, 0.75, 0.73, 0.71 0.67, 0.64, 0.63 and 0.50 respectively. Results suggested form heritability and correlation that these traits can be improved either through appropriate selection method or hybrid breeding programme.


Author(s):  
Isidore Amonmidé ◽  
Gustave D. Dagbénonbakin ◽  
P. B. Irénikatché Akponikpè ◽  
Emile C. Agbangba ◽  
Pierre G. Tovihoudji

This study aimed at developing parameters of the Diagnosis and Recommendation Integrated System (DRIS) model for the assessment nutrient status for cotton grown in Benin.. Soil physical and chemical characteristics, leaves nutrient content (N, P, K, Ca, Mg) and seed-cotton yield were assessed on samples gathered from 150 farmers’ fields in 2018. Nutrient indices were computed using standard DRIS procedures. Results showed that phosphorus was in excess in the petiole and the whole leaves but in deficit in the limb. Potassium content was adequate according in the petiole and leaves but deficient in the limb. Ca content was limiting in the limb or the whole leaves and adequate in the petiole. Based on the diagnosis made in the petioles, Mg was deficient while adequate in the limbs and leaves. In the limb, the order of the macronutrients is as follows: K> P> N. On the other side, in the petiole and the whole leaves, the order of the macronutrients becomes: P> K> N. In the whole leaves and limb, the order of the secondary elements is as follows: Mg> Ca, whereas in the petiole the order of the secondary elements becomes: Ca> Mg.


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.  


2021 ◽  
Author(s):  
Waleed Yehia ◽  
Essam Fathy El-Hashash

Abstract Background: The cotton crop is one of the most important natural fibers crops for textile manufacture in the world. The present research uses Pearson’s correlation coefficient and multivariate analysis to assess the interrelationships, similarities and dissimilarities among non- segregation (P1, P2 and F1) and segregation (F2, BC1 and BC2) generations for seed cotton yield and yield components in the two crosses Giza 92 x Pima S6 and Giza 93 x C.B. 58.Results: The analysis of variance exhibited highly significant genetic variability among six generations for all studied traits in the two crosses. The F1 performance was higher than the other generations for all the studied traits in the two crosses. The results had positive and high significant correlations between seed cotton yield/plant, lint cotton yield/plant and No. of bolls/plant traits across all six generations in the two crosses. A number of positive correlations were observed among the six generations for all studied traits in the two crosses. The UPGMA hierarchical clustering showed higher level of similarity coefficients among the six generations and among the studied traits. Similarity coefficients ranged from 0.96 to 0.99 and from 0.65 to 0.96, respectively. In the principal component analysis (PCA), the PCA1 extracted had Eigenvalue >1 across six generations for all studied traits in the two crosses. The PCA displayed total variation of 91.84% among the six generations contributed by PCA1 (79.47%) and PCA2 (12.38%) and had mainly distinguished the generations in different groups. The PCA1 and PCA2 were dominated by F1 and segregation generations in the two crosses, respectively, showing high correlations with the first two PCAs. All studied traits as well as boll weight and lint percentage traits contributed positive significant component loadings for the PCA1 and PCA2, respectively. The biplot analysis of the relationship between the six generations revealed that the most appropriate generations for selecting yield traits were F1 in the two crosses and BC1 and BC2 in the cross Giza 93 x C.B. 58. Conclusion: From the obtained results, we recommend considering backcrossing may be done for 2–5 cycles (BC2 – BC5) at C.B. 58 parent for improving Egyptian cotton yield in the future.


Sign in / Sign up

Export Citation Format

Share Document