The present experiment was laid out in randomized complete block design with three replications in order to estimate the genetic divergence, correlation and path analysis in ten upland cotton genotypes. The mean squares revealed highly significant differences (P<0.05) for all the investigated traits among the tested genotypes, proving that used genetic resources showed a great potential for further breeding experiments. On the basis of mean performance, the variety NB-111 displayed desirable performance for variety of traits, unveiling its importance in cotton breeding programs. The results also exhibited that plant height, bolls plant -1 , boll weight and seed index developed positive and significant (P<0.05) associations with seed cotton yield plant -1 . Pertaining to path analysis, maximum positive direct effects to seed cotton yield palnt -1 was contributed by bolls plant -1 , followed by boll weight, GOT% and seed index. This demonstrates that genotypes possessing higher extent of these traits may be chosen in selection for developing high yielding cotton genotypes. Considering genetic distance, diverse parents with broad genetic distance were also identified, signifying their importance for upcoming hybridization programs in cotton crop.
Salinity is one of the key factors reducing the plant growth and productivity of major crops including wheat. However, identifying the multiple genetic parameters associated with salt tolerance during different growth stages is critical for the evaluation and enhancement of wheat genotypes. In this context, a field experiment in non-saline and saline soil was carried out for correlation analysis of 17 morphological, physiological and yield traits in 22 genotypes of wheat. The experiment was carried out at experimental field of NIA, Tandojam during 2018-2019 in a Randomized Complete Block Design (RCBD) with three replications and two treatments (non-saline soil and salinity level of 12 dS m-1). The obtained mean squares showed significant differences among the tested genotypes for all the studied characters, reflecting that there are abundant genetic variations present in these wheat genetic resources for further utilization in wheat improvement programs. The correlation analysis demonstrated that a variety of characters, including spike length (non-saline r = 0.59**; salinity r = 0.37*), spikelets spike-1 (non-saline r = 0.49**; salinity r = 0.46**), grains spike-1 (non-saline r = 0.49**; salinity r = 0.43**), biological yield plot-1 (non-saline r = 0.56**; salinity r = 0.70**), harvest index (non-saline r = 0.24*; salinity r = 0.26*), relative water content (non-saline r = 0.53**; salinity r = 0.50**), seed index (non-saline r = 0.29*; salinity r = 0.52**) and K+ (non-saline r = 0.28*; salinity r = 0.32**) showed positive and significant associations with grain yield plot-1 in non-saline and salinity stress conditions. The results suggest that these above-mentioned characters may be set as selection criteria in breeding study to improve wheat genotypes for high yielding under saline filed conditions.
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