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Abstract
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 [ver mas...]
dc.contributor.authorMaltese, Nicolás
dc.contributor.authorMaddonni, Gustavo Angel
dc.contributor.authorMelchiori, Ricardo Jose
dc.contributor.authorCaviglia, Octavio
dc.date.accessioned2021-07-22T15:02:11Z
dc.date.available2021-07-22T15:02:11Z
dc.date.issued2021-08
dc.identifier.issn0378-4290
dc.identifier.issn1872-6852
dc.identifier.otherhttps://doi.org/10.1016/j.fcr.2021.108216
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9869
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0378429021001623
dc.description.abstractIn 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 Paraná (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 < 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 < 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceField Crops Research 270 : 108216 (August 2021)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.subjectFecha de Siembraes_AR
dc.subjectSowing Dateeng
dc.subjectGermenes_AR
dc.subjectKernelseng
dc.subjectZea mayses_AR
dc.titlePlant nitrogen status at flowering and kernel set efficiency in early- and late-sown maize cropses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Paranáes_AR
dc.description.filFil: Maltese, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Maltese, Nicolás. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina.es_AR
dc.description.filFil: Maltese, Nicolás. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.description.filFil: Maddonni, Gustavo Angel. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Cerealicultura; Argentinaes_AR
dc.description.filFil: Maddonni, Gustavo Angel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología y Ecología Vinculado a la Agricultura; Argentinaes_AR
dc.description.filFil: Melchiori, Ricardo Jose. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina.es_AR
dc.description.filFil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Caviglia, Octavio. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentinaes_AR
dc.subtypecientifico


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