Plant nitrogen status at flowering and kernel set efficiency in early - and late - sown maize crops
In maize (Zea mays, L.) genotypic variability in the relationship between total kernel number per plant (KNP) and plant growth rate (PGR) during the period bracketing silking (R1 ± 15 d), and in kernel set efficiency (KNP PGR 1, KSE) have been widely documented. Nitrogen supply (Ns) affects PGR and...
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2021maltese.pdf LINK AL EDITOR |
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| 024 | |a 10.1016/j.fcr.2021.108216 | ||
| 040 | |a AR-BaUFA |c AR-BaUFA | ||
| 245 | 1 | 0 | |a Plant nitrogen status at flowering and kernel set efficiency in early - and late - sown maize crops |
| 520 | |a In maize (Zea mays, L.) genotypic variability in the relationship between total kernel number per plant (KNP) and plant growth rate (PGR) during the period bracketing silking (R1 ± 15 d), and in kernel set efficiency (KNP PGR 1, KSE) have been widely documented. Nitrogen supply (Ns) affects PGR and hence KNP (i.e. indirect effect on KNP), but reports on a direct N effect on KNP PGR 1 are still contradictories. Moreover, recent studies have documented that prolificacy (the number of ears per plant) was cancelled out in N-limited plants despite of their high PGR. Additionally, PGR can be differentially affected by environmental conditions (e.g. sowing dates) through indirect effects on plant size or directly, which could determine changes on KSE. Field experiments were carried-out in Paran´a (31◦ 48’ S, 60◦ 32’ W), Argentina, during two growing seasons (2014 15 and 2015 16). Two single cross hybrids were sown in two sowing dates (early: September and late: December), with three N fertilizer rates (0, 90, and 270 kg N ha 1) at three plant densities (5, 7 and 9 pl m 2). The effects of plant N status and plant size on KNP, KSE and prolificacy were study for a wide range of PGR and relative PGR (rPGR). Plant N status was estimated by using SPAD measurements on the ear-leaf blade at R1. Ranges of lower, mid and higher PGR (absolute and relative values) and SPAD units were established using 33rd and 66th percentiles. Curvilinear functions were fitted to kernel number at the apical ear (KNE1) vs. PGR and KNP vs. PGR and boundary functions were also fitted to calculate the unexplained variance (i.e. residuals) of these functions, indicative of direct plant N status effects on KSE. Residuals of KNE1 vs. PGR relationship decreased with increases in plant N status up to a threshold value of 46.8 SPAD units (R2 = 0.75, P minor to 0.001). Prolificacy was expressed for plants with SPAD units greater than 50 and residuals of KNP vs. PGR relationship decreased with increases in SPAD units only in prolific plants of early-sown crops (R2 = 0.55, P minor to 0.10). The analysis of KNP vs. PGR and KNP vs. rPGR allowed us to elucidate the direct effect of plant N status on KSE under a wide range of environmental conditions, especially those promoting by sowing date x plant density x N rate. | ||
| 653 | |a ZEA MAYS | ||
| 653 | |a NITROGEN | ||
| 653 | |a NITROGEN SUPPLY | ||
| 653 | |a SOWING DATE | ||
| 653 | |a PLANT LEVEL | ||
| 700 | 1 | |a Maltese, Nicolás Elías |u CONICET. Buenos Aires, Argentina. |u Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná (EEA Paraná). Oro Verde, Entre Ríos, Argentina. |u Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias. Oro Verde, Entre Ríos, Argentina. |9 72229 | |
| 700 | 1 | |a Maddonni, Gustavo Angel |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura. Buenos Aires, Argentina. |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |9 7271 | |
| 700 | 1 | |a Melchiori, Ricardo José Miguel |u Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná (EEA Paraná). Oro Verde, Entre Ríos, Argentina. |9 50590 | |
| 700 | 1 | |a Caviglia, Octavio Pedro |u CONICET. Buenos Aires, Argentina. |u Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias. Oro Verde, Entre Ríos, Argentina. |9 50592 | |
| 773 | 0 | |t Field Crops Research |g Vol.270 (2021), art.108216, 10 p., tbls., grafs. |w (AR-BaUFA)SECS000083 | |
| 856 | |f 2021maltese |i En reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2021maltese.pdf |x ARTI202210 | ||
| 856 | |u https://www.elsevier.com/ |z LINK AL EDITOR | ||
| 942 | |c ARTICULO |n 1 | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||