Timely sown maize hybrids enhance the post-anthesis dry matter accumulation and remobilization, nutrient acquisition and crop productivity

Autor: R. R. Zhiipao, Vijay Pooniya, Niraj Biswakarma, Dinesh Kumar, Y. S. Shivay, Anchal Dass, Ganapati Mukri, K. K. Lakhena, R. K. Pandey, Arti Bhatia, Prabhu Govindasamy, Anamika Burman, Subhash Babu, R. D. Jat, A. K. Dhaka, Karivaradharajan Swarnalakshmi
Rok vydání: 2022
Popis: Delayed sowing of maize hybrids could exacerbate the capability of maximizing the yield potential through poor crop stand, root proliferation, nutrient uptake, and dry matter accumulation coupled with the inadequate partitioning of the assimilates. This study appraised the performance of five recent maize hybrids viz., PMH-1, PJHM-1, AH-4158, AH-4271, and AH-8181 under timely and late sown conditions of the irrigated semi-arid ecologies. Timely sowing had the grain and stover yields advantage of 16-19% and 12-25%, respectively over the late sown maize hybrids. The advanced hybrids AH-4271 and AH-4158 had higher grain yields than the others. During the post-anthesis period, a greater dry matter accumulation and contribution to the grain yield to 16% and 10.2%, respectively, was observed under timely sown conditions. The nutrient acquisition and use efficiencies also improved under the timely sown. The nutrient and dry matter remobilization varied among the hybrids with AH-4271 and PMH-1 registering the greater values. The grain yield stability index (0.85) was highest with AH-4158 apart from the least yield reduction (15.2%) and stress susceptibility index (0.81), while the maximum geometric mean productivity was recorded with the AH-4271 (5.46 Mg ha–1). The hybrids AH-4271 and PJHM-1 exhibited improved root morphological traits, such as root length, biomass, root length density, root volume at the V5 stage (20 days of sowing, DAS) and 50% flowering (53 DAS). Thus, timely sowing and appropriate hybrids based on stress tolerance indices resulted in greater yields and better utilization of resources.
Databáze: OpenAIRE