Modeling hybrid and sowing date effects on potential grain yield of maize in a humid temperate region

Otegui, Marı́a Elena; Ruiz, R.A.; Petruzzi, Diego

doi:10.1016/0378-4290(96)00031-7

Cited by 60 publications

(37 citation statements)

References 17 publications

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“…However, several studies reported that both early and late planting could result in significant reductions in maize yield (Cirilo & Andrade, ; Sorensen, Stone, & Rogers, ; Tsimba, Edmeades, Millner, & Kemp, ,b). Early sowing (ES) with delayed leaf area development resulted in decreased intercepted photosynthetically active radiation (Otegui, Ruiz, & Petruzzi, ) and decreased availability of assimilate supply (source) for grain setting and grain filling (Tsimba, Edmeades, Millner, & Kemp, ,b). Late sowing (LS) with low temperature accelerated leaf senescence and decreased assimilate supply for kernel growth, which consequently decreased grain yields (Tsimba, Edmeades, Millner, & Kemp, ,b).…”

Section: Introductionmentioning

confidence: 99%

Mitigating heat and chilling stress by adjusting the sowing date of maize in the North China Plain

Tian

Zhu

Nie

et al. 2018

J Agronomy Crop Science

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The North China Plain (NCP) is one of the major areas of cereal production, and in recent years its maize (Zea mays L.) production has been influenced by both heat and chilling stresses. Adjusting the sowing date is an effective measure for mitigating these stresses. However, the underlying mechanisms remain poorly understood. We performed a 5‐year field experiment to determine how the sowing date mitigated heat and chilling stresses at Wuqiao Experimental Station in the NCP with three treatments: early sowing (ES), middle sowing (MS), and late sowing (LS). In all 5 years, higher grain yields were observed in the MS (averaged 11.7 Mg/ha) and LS (averaged 11.4Mg/ha) treatments compared with the ES (averaged 10.9Mg/ha) treatment. The lower yield in ES treatment mainly resulted from high temperature 5 days pre‐silking and 5 days post‐silking (>31.8°C). In 2015 and 2016, the lower grain yield in LS (11.4Mg/ha in 2015 and 11.2Mg/ha in 2016) treatment compared with MS (12.1Mg/ha in 2015 and 11.9Mg/ha in 2016) was mainly because the minimum temperature was <13.0°C 5 days before maturity or <13.6°C 10 days before maturity. Long‐term weather data further verified middle sowing would be appropriate in a changing climate. Therefore, we can conclude that sowing date manipulation constitutes a useful method for mitigating heat and chilling stresses for maize production.

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Section: Introductionmentioning

confidence: 99%

Mitigating heat and chilling stress by adjusting the sowing date of maize in the North China Plain

Tian

Zhu

Nie

et al. 2018

J Agronomy Crop Science

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“…There is a lack of models that allow quantifying the impact of soil fertility and management on crops yield in the region. Some applications of simulation models gave poor results in the Pampas for yield prediction (Travasso and Delécolle 1995, Otegui et al. 1996) and in other cases multiple regression models account for a bigger proportion of yield variability than simulation models (Calviño et al.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Soil Fertility and Management Effects on Yields of Wheat and Corn in the Rolling Pampa of Argentina

Álvarez¹,

Grigera²

2005

J Agronomy Crop Science

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The Rolling Pampa is the most productive region of the Argentine Humid Pampa comprising around 10 Mha. Wheat (Triticum aestivum L.), corn (Zea mays L.), and soya bean [Glycine max (L.) Merr.] are the main grain crops produced. To develop sound cropping strategies, a better understanding of the impact of soil fertility and management on crops is needed. The objective of this study was to develop models for estimating the effects of growing season precipitation, soil fertility and management on wheat and corn yields. Data from 347 wheat and 323 corn field experiments and production fields over six growing seasons were used. Soil, management and weather characteristics were determined and yields were then evaluated. Data were analysed using linear and quadratic models and a quadratic polynomial surface model. Soil fertility, management and rainfall and interactions were analysed. Growing season precipitation correlated with wheat (R2 = 0.42) and corn (R2 = 0.25) yield. Maximum wheat yield was achieved with 350–400 mm rainfall and corn yield reached a plateau around 700 mm. Soil fertility accounted for 33 % of wheat yield variability and 5 % of corn yield variability. Management accounted for 48 and 9 % respectively. Whole polynomial models integrating rainfall, fertilizer N and P rates, soil N and P, previous crop and tillage system accounted for 67 % of wheat yield variability and 51 % of corn yield variability. Soil organic matter was not included in the models but an indirect effect on yield was detected as organic matter correlated with initial soil N levels for both crops. Soya bean as a previous crop had a positive effect on wheat and corn yields. Wheat was insensitive to tillage system but corn yield was higher under no till. N and P fertilization had a two‐ to three‐fold greater impact on yield than soil nutrient levels. As this region is considered to be of high soil fertility and has a history of very low fertilizer consumption, adequate use of N and P fertilization will be essential to maintaining high wheat and corn yields.

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“…Studies attempting to understand maize yield potential and its variation in relation to environmental factors have highlighted the crucial role of solar radiation and temperature (Muchow, 1989;Cirilo and Andrade, 1994;Otegui et al, 1996). A few studies have attempted to quantify yield potential and its variation at a regional scale using observed data (Duncan et al, 1973;Andrade et al, 1996) and simulation modeling (Hodges et al, 1987;Muchow et al, 1990;Wilson et al, 1995;Löffler et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…A few studies have attempted to quantify yield potential and its variation at a regional scale using observed data (Duncan et al, 1973;Andrade et al, 1996) and simulation modeling (Hodges et al, 1987;Muchow et al, 1990;Wilson et al, 1995;Löffler et al, 2005). In all of these studies, maize yields were evaluated against mean meteorological variables for the entire growing season rather than specific growth phases that are most sensitive to environmental limitations (Otegui and Bonhomme, 1998). Likewise, it was not clear if the practices used at all locations were optimal for maximum attainable yield.…”

Section: Introductionmentioning

confidence: 99%

Limits to maize productivity in Western Corn-Belt: A simulation analysis for fully irrigated and rainfed conditions

Grassini

Yang

Cassman

2009

Agricultural and Forest Meteorology

231

124

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Modeling hybrid and sowing date effects on potential grain yield of maize in a humid temperate region

Cited by 60 publications

References 17 publications

Mitigating heat and chilling stress by adjusting the sowing date of maize in the North China Plain

Mitigating heat and chilling stress by adjusting the sowing date of maize in the North China Plain

Analysis of Soil Fertility and Management Effects on Yields of Wheat and Corn in the Rolling Pampa of Argentina

Limits to maize productivity in Western Corn-Belt: A simulation analysis for fully irrigated and rainfed conditions

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