Identification and genetic assessment of transgressive segregants for yield and its contributing traits in wheat (Triticum aestivum L.)
Journal Title: Environment Conservation Journal - Year 2023, Vol 24, Issue 4
Abstract
Two crosses viz., K 1006 x LOK 1 and PBW 343 x HUW 234 derived from four diverse parents were examined during Rabi 2018-19 and 2019-20 at Agricultural Research Farm, Institute of Agricultural Sciences, BHU in order to identify and assess the robust transgressive segregants (TS) in the segregating F2 and F3 population for yield/plant and its contributing traits respectively. Findings reveal that individuals transgressed beyond the parents in both the crosses for grain yield/plant (9 to 9.52 %). The maximum frequency of TS are found for AL (74.29%) in the PBW 343 x HUW 234 and it was higher for 1000 grain weight (72%) in the K 1006 x LOK 1 cross. The highest number of simultaneous TS for grain yield/plant was found in the F2 for the PBW 343 x HUW 234 (89.5%) followed by K 1006 x LOK 1 (79.0%). The frequency of simultaneous transgression for grain yield coupled with SLPS, GPS, 1000 GW in K 1006 x LOK 1 cross along with NET and AL in PBW 343 x HUW 234 cross was found very frequently. Hence, it is presumed that either grain yield is dependent on these traits or there may be linkage drag among the genes for such traits so that responsible gene(s) could be inherited together. The most promising TS tagged in F2’s were plant No. 36 in the K 1006 x LOK 1 and plant No. 30, 68 and 100 in the other cross. Based on high frequency of TS, it is inferred that transgressive breeding could be used as an excellent tool to improve the crop yield and other desirable traits by recovering the transgressive segregants.
Authors and Affiliations
Parul Gupta, Ravindra Prasad, Mohit Sharma
Analysis of noise pollution level in and around SIDCUL area in District Haridwar (Uttarakhand) India
The primary objective of this study is to evaluate the issue of noise pollution in the vicinity of the industrial zone of Haridwar city and its correlation with the health of the people in and around the SIDCUL (State I...
A stacking ensemble machine learning based approach for classification of plant diseases through leaf images
Diseases and pests in plants/crops are major causes of significant agricultural losses with economic, social and ecological impacts. Therefore, there is a need for early identification of plant diseases and pests through...
Water quality parameters and population of aquatic insect larvae in Pardi Lake, Gadchiroli District (M.S.) of India
The present research deals with the study on some physicochemical parameters and the population of aquatic insect and insect larvae of Pardi lake, Gadchiroli which was carried out from February 2016 to January 2017. Tot...
Effect of Xanthan gum seed coating on seed germination and seedling vigour of finger millet (Eleusine coracana L.)
Six Hydrophilic polymers Xanthan Gum, Iota Carrageenan, Kappa Carrageenan, Agar Agar, Food grade Agar and Gellan Gum were studied for polymerization potential and water holding capacities. Among the six polymers, Xantha...
Methods for eliminating micropollutant from wastewater: A review
The amount of suspended solid and medicinal micropollutants, such as fungicides, personal care products, contraceptive medications, antibiotics and aromatic hydrocarbons are increasing daily and has reached an alarming...