Inter-plant variability in maize crops grown under contrasting N×stand density combinations: Links between development, growth and kernel set

Rossini, M.A.; Maddonni, Gustavo Ángel; Otegui, Marı́a Elena

doi:10.1016/j.fcr.2012.03.010

Cited by 33 publications

(31 citation statements)

References 49 publications

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“…By the 1960s, however, populations of 50,000 to 74,000 plants ha –1 in a rectangular plant arrangement resulted in 90% radiation interception during reproductive growth (Williams et al, 1965; Allison, 1969). More recently, Andrade et al (1993), Nelson and Smoot (2009), Sharratt and McWilliams (2005; short‐season hybrids), and van Roekel and Coulter (2012) reported solar radiation interception of >90% at populations of 60,000 to 75,000 plants ha –1 .…”

Section: The Role Of the Source And Sink In Yield Improvementmentioning

confidence: 95%

Is There a Role for Sink Size in Understanding Maize Population–Yield Relationships?

Egli

2015

Crop Science

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The most consistent change in management practices associated with the increase in maize (Zea mays L.) yield in the United States since 1930 has been a steady increase in plant population. Populations increased from roughly 30,000 plants ha–1 at the beginning of the hybrid era to >75,000 plants ha–1 in recent years. The purpose of this review was to evaluate the potential role of sink size in historic maize yield–population relationships. The steady increase in yield (∼4×) during the hybrid era required an increase in source activity since there was no change in harvest index. The increase in grain yield was associated with an increase in kernels per unit area, so there was a concomitant increase in both source and sink. Data collected from the literature and evaluations of hybrids from different eras demonstrate that ear size (kernels per ear) of U.S. and Canadian hybrids did not increase during the hybrid era. Ears per plant did not increase above an average of one. Since ear size and prolificacy did not change, higher plant populations were needed to increase sink size (ears and kernels per unit area). This approach to analyzing population–yield relationships suggests that higher populations didn't necessarily contribute directly to higher productivity; rather, the increase in sink size avoided a sink limitation and allowed the higher productivity of the source to be translated into grain yield. Future yield increases will, therefore, require even higher populations which could create new management challenges.

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Section: The Role Of the Source And Sink In Yield Improvementmentioning

confidence: 95%

Is There a Role for Sink Size in Understanding Maize Population–Yield Relationships?

Egli

2015

Crop Science

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“…Cervantes et al (2015) found no statistical differences at 90 000, 100 000 and 110 000 ha -1 plants. The number and weight of grain per plant decreased (Hasemi and Herbert, 1992;Sangoi et al, 2002;Rossini et al, 2012) and grain yield increased when population density increased (Van Roekel andCoulter, 2011;Antonietta et al, 2014;Cervantes et al 2015). This is explained by the fact that over time, genetic improvement in maize has been able to increase the yield of grain per surface at high densities without changes or even reductions in NGP (Duvick, 1997).…”

Section: Density Of Population (D)mentioning

confidence: 98%

“…En diversas investigaciones se ha estudiado la interrelación que existe entre ésta con PGP (Rossini et al, 2012;Van Roekel y Coulter, 2012;Manfield y Mumm, 2013;Antonieta et al, 2014), LM o PVG (Cervantes et al, 2015).…”

Section: Análisis De Varianzaunclassified

“…Tollenaar y Lee (2011) comentaron que el incremento en la productividad de maíz en Estados Unidos de América fue de 1.5 a 9.5 t ha -1 desde 1930 hasta 2008. maximizes grain yield (Sangoi et al, 2002;Tollenaar and Lee, 2011). In a number of researches, the interrelation between PGP (Rossini et al, 2012;Van Roekel and Coulter, 2012;Manfield and Mumm, 2013;Antonieta et al, 2014), LM or PVG (Cervantes et al, 2015).…”

Section: Variance Analysisunclassified

“…Cervantes et al (2015) no encontraron diferencias significativas a 90 000, 100 000 y 110 000 plantas ha -1 . El número y el peso de grano por planta disminuyeron (Rossini et al, 2012;Sangoi et al, 2002;Hasemi y Herbert, 1992) y el rendimiento de grano fue mayor cuando aumentó la densidad de plantas (Van Roekel y Coulter, 2011; Antonietta et al, 2014;Cervantes et al 2015). Lo anterior, explica que a través del tiempo, el mejoramiento genético en maíz ha logrado incrementar el rendimiento de grano por superficie a densidades altas sin cambios, en el NGP (Duvick, 1997).…”

Section: Densidades De Población (D)unclassified

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Respuesta de diez cultivares de maíz a la densidad de población en tres localidades del centro mexiquense

Mercado

López²,

Huerta³

et al. 2017

Remexca

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La densidad de población es uno de los principales factores que contribuyen a incrementar el rendimiento de grano en maíz. El presente trabajo se estableció en 2013 en tres localidades del centro del Estado de México, México para evaluar el rendimiento de grano y sus componentes principales en diez cultivares de maíz en tres densidades de población. Los tres ensayos se establecieron en campo en un diseño experimental de bloques completos al azar con tres repeticiones en un arreglo de parcelas divididas: en las parcelas grandes se distribuyeron las densidades de población y en las chicas los cultivares. Hubo diferencias significativas (p = 0.01) entre cultivares en las 13 variables registradas, en densidad de población éstas lo fueron en longitud de mazorca, diámetro de mazorca, peso de olote, peso de grano por planta, y rendimiento de grano. Un incremento en la densidad de población disminuyó el número y el peso de grano por planta pero a 104 167 plantas ha-1 el rendimiento fue de10.03 t ha-1. Con P204W se obtuvo la mayor producción de grano (10 t ha-1), pero éste no difirió estadísticamente de IC 2010, AS-MJ9082, H-40 y AS-723. El análisis de componentes principales explicó 65.94% de la variación total original, en éste se observó una alta correlación entre rendimiento de grano, granos por planta, índice de prolificidad y peso de olote.

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Heterosis and parent–progeny relationships for silk extrusion dynamics and kernel number determination in maize: Nitrogen effects

et al. 2020

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Maize (Zea mays L.) ear-related traits conducive to final kernel number per plant (KNP) are currently considered key determinants of kernel set under abiotic stress. Understanding of the variation between parental inbred lines and their hybrids is limited. The objective of this work was to analyze the genotypic variation between a set of inbred lines and some of their derived hybrids for (a) total number of spikelets per ear, (b) silk extrusion dynamics, (c) KNP, and (d) sources of loss in KNP (i.e., silk and kernel abortions) under high and limited N supply. In inbreds, variations in KNP were strongly explained by variations in silk extrusion rate (SER) and silk abortion. In contrast, hybrid KNP was explained by the number of spikelet per ear, exposed silks on Day 5 (ESD5), and extruded silks (TES), as well as silk extrusion per unit area (ESMAX). Heterosis across N levels was high for KNP, ESMAX, SER, kernel abortion, and ESD5. Strong parent-progeny relationships (r ≥ .69, P < .01) were computed for reproductive morphology traits (TES, total spikelets) at both N levels, whereas (a) KNP, sources of loss, and ESMAX were highly heritable exclusively under high N supply, and (b) ESD5 was a good predictor of hybrids KNP only at low N supply. Based on its high heterosis across environments and good parent-progeny relationship for KNP under N deficiency, ESD5 quantification should be part of breeding programs aimed to low-N environments, depending upon the development of imagebased plant and crop phenotyping.Abbreviations: ASI, anthesis-silking interval; AUC, area under the curve; ESD5, exposed silks per ear on Day 5; ESMAX, maximum number of exposed silks per square meter; GG, genotypic group; INTA, National Institute of Agricultural Technology; KNP, kernel number per plant; PC, principal component; SER, silk extrusion rate; TES, total extruded silks; TTANT, thermal time to anthesis; TTAS, thermal time after the start of silking; TTESMAX, thermal time after silking when the maximum number of exposed silks per square meter is reached; TTSILK, thermal time to silking.

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Inter-plant variability in maize crops grown under contrasting N×stand density combinations: Links between development, growth and kernel set

Cited by 33 publications

References 49 publications

Is There a Role for Sink Size in Understanding Maize Population–Yield Relationships?

Is There a Role for Sink Size in Understanding Maize Population–Yield Relationships?

Respuesta de diez cultivares de maíz a la densidad de población en tres localidades del centro mexiquense

Heterosis and parent–progeny relationships for silk extrusion dynamics and kernel number determination in maize: Nitrogen effects

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