K. SLIREKHA

Indian Institute of Rice Research

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R. Mahender Kumar

Sam Higginbottom Institute of Agriculture

M. NARAYANA REDDY

University of Agricultural Sciences Raichur

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Sam Higginbottom Institute of Agriculture

Indian Institute of Rice Research

Central Research Institute for Dryland Agriculture

Acharya N. G. Ranga Agricultural University

Office of the Chief Scientist

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Professor Jayashankar Telangana State Agricultural University

University of Agricultural Sciences Raichur

Chaudhary Charan Singh Haryana Agricultural University

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Yield attributes and yield of rice (Oryza sativa) hybrids as influenced by nitrogen sources and its splits application

Indian Journal of Agronomy (2001)

K. SLIREKHA M. NARAYANA REDDY R. Mahender Kumar

In a field experiment conducted during the wet season of 1994 and 1995 on a deep black soil (Vertisol), the differential response of recently released rice (Oryza sativa L.) hybrids in terms of their yield components and yield to NH,-N and NH, + NO3-N sources [through urea and calcium ammonium nitrat, (CAN) respectively] and split application of N (as 3 and 4 equal splits) was studied. Four rice hyrbids, 2 of early (MGR 1 and KRH 1) and and the other 2 of mid-duration (APRH 1 and APRH 2) were tested using 2 checks (Rasi and Jaya). More stable and easily available NH,-N was found to be superior to unstable and leachable NO3-N fraction from CAN which resulted in higher number of tillers and panicles and was mainly responsible for higher grain yields (6.40 and 5.44 tonneslha with NH,-N and 5.73 and 4.59 tonneslha with NH, + NO,-N in1994 and 1995 respectively). Application of N in 4 splits, coinciding the last with flowering, improved filled grain percentage, 1,000- grain weight and finally resulted in higher grain yields owing to increased photosyn- thetic rate and delayed leaf senescence. Among the hybrids. MGR 1 in the short- duration group emerged as the most promising by outyielding the check Rasi to the extent of 18-20% more. Grain yield showed significant correlatidn during 2 years with tiller number (r = 0.48* and 0.68*), panicle number (r = 0.47* and 0.66**), filled grain percentage (r = 0.36 and 0.53**) and 1,000-grain weight (r = 0.48* and 0.39). The multiple linear regression analysis revealed significant contribution of 67% by tillers, panicles, spikelets, filled grain percentage and 1,000-grain weight towards grain yield.

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Tiller (botany)

Vertisol

10.59797/ija.v44i1.3469

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