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Resumen
Selection for maize (Zea mays L.) grain yield in high-yielding environments at high population densities has favored a compact phenotype tolerant to crowding stress, bearing a single, well-grained ear. However, by contributing to vegetative and reproductive plasticity (i.e., multiple shoots and ears per plant, respectively), tillering may be adaptive in environments with low and variable availability of resources, chiefly water and nutrients, where crops [ver mas...]
dc.contributor.authorRotili, Diego Hernán
dc.contributor.authorSadras, Victor Oscar
dc.contributor.authorAbeledo, Leonor Gabriela
dc.contributor.authorFerreyra, Juan Matías
dc.contributor.authorMicheloud, José Roberto
dc.contributor.authorDuarte, Gustavo
dc.contributor.authorGiron, Paula
dc.contributor.authorErmácora, Matías
dc.contributor.authorMaddonni, Gustavo Angel
dc.date.accessioned2021-03-11T12:21:27Z
dc.date.available2021-03-11T12:21:27Z
dc.date.issued2021-05
dc.identifier.issn0378-4290
dc.identifier.issn1872-6852
dc.identifier.otherhttps://doi.org/10.1016/j.fcr.2021.108107
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8864
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0378429021000538
dc.description.abstractSelection for maize (Zea mays L.) grain yield in high-yielding environments at high population densities has favored a compact phenotype tolerant to crowding stress, bearing a single, well-grained ear. However, by contributing to vegetative and reproductive plasticity (i.e., multiple shoots and ears per plant, respectively), tillering may be adaptive in environments with low and variable availability of resources, chiefly water and nutrients, where crops are sown at low plant population density. In this work we present a robust, new conceptual framework for vegetative and reproductive plasticity in maize with direct agronomic applications, combining original data from new experiments and data reviewed from the literature. First, we describe production systems where tillering in maize would be relevant in terms of grain yield. Next, we discuss possible masked effects of genetic selection at high plant densities on tillering and present novel experimental results showing genotypic variation of tillering in modern maize hybrids and genotype x environment x management effects (plant density x location x sowing date) on tillering expression. We follow with a two-part framework to analyze tillering and prolificacy. In the first part (from axillary buds to tillers), we integrate the early effects of the light environment (through photomorphogenesis) and carbon balance on tillering emission, and discuss the environmental factors (temperature, photoperiod, radiation, water, nitrogen) that modulate tiller emission and tiller growth. In the second part (from tillers to kernels), we summarize the functional relationships governing kernel set on the ears of main shoot (apical and sub-apical ears) and tillers, focusing on the growth rate of shoot cohorts, rather than the whole plant. We then provide examples of the diverse patterns of contribution of multiple shoots to crop grain yield for maize husbandry in low-yielding environments. Finally, we address the effect of tillering on resource capture and use efficiency of maize crops by discussing its relationship with biomass and grain yield and provide supportive experimental data. We conclude with identification of knowledge gaps leading to testable hypotheses.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceField Crops Research 265 : 108107 (May 2021)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectRendimientoes_AR
dc.subjectYieldseng
dc.subjectMedio Ambientees_AR
dc.subjectEnvironmenteng
dc.subjectRadiaciónes_AR
dc.subjectRadiationeng
dc.subjectAguaes_AR
dc.subjectWatereng
dc.subjectNitrógenoes_AR
dc.subjectNitrogeneng
dc.titleImpacts of vegetative and reproductive plasticity associated with tillering in maize crops in low-yielding environments: a physiological frameworkes_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 General Villegases_AR
dc.description.filFil: Rotili, Diego Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología y Ecología Vinculado a la Agricultura; Argentinaes_AR
dc.description.filFil: Sadras, Victor Oscar. South Australian Research & Development Institute; Australia. University of Adelaide. School of Agriculture, Food and Wine; Australiaes_AR
dc.description.filFil: Abeledo, L. Gabriela. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Ferreyra, José Matías. Bayer – Crop Science. Market Development LATAM; Argentinaes_AR
dc.description.filFil: Micheloud, José Roberto. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Cerealicultura; Argentina. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola (AACREA); Argentina. PLEXAGRO; Argentinaes_AR
dc.description.filFil: Duarte, Gustavo. Grupo Bermejo; Argentinaes_AR
dc.description.filFil: Giron, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; Argentinaes_AR
dc.description.filFil: Ermácora, Matías. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola (AACREA); Argentinaes_AR
dc.description.filFil: Maddonni, Gustavo Angel. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Fisiología y Ecología Vinculado a la Agricultura; Argentinaes_AR
dc.subtypecientifico


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