543-557
Curvilinear regression of maize (Zea mays L.) grain quality traits on elevated plant density combined with deficit irrigation
Authors: A. M. M. Al-Naggar, M. M. M. Atta, M. A. Ahmed, A. S. M. Younis
Number of views: 208
The main objective of the present investigation was to determine the optimum plant density combined with irrigation regime for obtaining the highest grain protein, oil and starch contents and yields of different maize genotypes. Six inbreds and their 15 diallel hybrids were evaluated in the field for grain protein (GPC), oil (GOC) and starch (GSC) contents, grain (GYPH), protein (PYPH), oil (OYPH), and starch (SYPH) yield per hectare under three plant densities (PD), i.e. low (47,600), medium (71,400) and high (95,200) plants/ha in combination with two irrigation regimes, i.e. well watering (WW) and water stress (WS) at flowering. Results combined across two seasons revealed that elevated combined stress caused a decrease in GOC and GYPP and an increase in GPC and GSC. The traits GYPH, PYPH, OYPH and SYPH showed a trend of increase from non-stressed to high-density stressed environment followed by a trend of decrease reaching maximum reduction at the most stressed one (WS-high PD). Regression functions revealed that for GYPH, PYPH, OYPH and SYPH, the three highest-yielding hybrids to the elevated plant density combined with deficit irrigation showed a curvilinear response of decrease with an optimum environment of well watering combined with high plant density, except the hybrid L20 x L53, which showed a continuous response of increase. The highest hybrids in GPC and GSC showed near linear regression of decrease, except L18 x L28, which showed a curvilinear regression with optimum environment of the WW-high PD. The highest hybrids in GOC showed a quadratic response of increase with optimum environment of WW-high PD (L53 x Sd7) and WS-low PD (Sk5 x Sd7). The best hybrids for PYPH, OYPH, SYPH and GYPH (L20 x L53, L53 x Sd7 and L53 x Sk5) showed differential response depending on the genetic background of the hybrid and the trait of interest. The optimum environment for obtaining the highest yield/ha for protein, oil or starch was identified for each hybrid.