On-farm assessment of environmental and management constraints to wheat yield and efficiency in the use of rainfall in the Mallee

By V. Sadras, D. Roget, Garry O'Leary. 2002

84 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Soil Science

View Paper: https://www.semanticscholar.org/paper/60220fb8651bc0073f88f56ce1679e021efe7ffb

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In Ecology, Evolution, Behavior and Systematics

In Forestry

In Soil Science

Citations in the corpus

A water-centred framework to assess the effects of salinity on the growth and yield of wheat and barley (2010, background): “Architectural root traits are likely to be important in defining the onset of the osmotic phase in environments of south-eastern Australia where salinity increases with soil depth (Rodriguez et al. 2006; Sadras et al. 2002).”
Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region (2018, background): “Farmer survey data can be utilized as a cost-effective source of information to identify yield constraints and fine-tune management practices so that these yield limitations can be ameliorated or eliminated (e.g., Calvino and Sadras, 2002; Sadras et al., 2002; Lobell et al., 2005; Tittonell et al., ”
Synthetic Hexaploids: Harnessing Species of the Primary Gene Pool for Wheat Improvement (2013, background): “In rainfed production systems where transient salinity occurs, yields can be well below theoretical for the rainfall received, when subsoil salinity is present, and unusedwater at harvest is one of its symptoms (Sadras et al. 2002).”
Understanding production potentials and yield gaps in intensive maize production in China (2013, background): “Some studies have also attempted to quantify yield potential using observed field data (Sadras et al., 2002; Tittonell et al., 2008).”
High-yield irrigated maize in the Western U.S. Corn Belt: I. On-farm yield, yield potential, and impact of agronomic practices (2011, background): “Data collected from farmer’s fields can be used to evaluate actual productivity and identify major limitations in crop systems (e.g., Mercau et al., 2001; Sadras et al., 2002; Lobell et al., 2005).”
Crop yield gaps: their importance, magnitudes, and causes. (2009, background): “An alternative but less common approach to estimating yield potential is to observe the maximum yield achieved among a sizable sample of farmers in a region of interest (29, 30).”
Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers (2019, unknown): “Potential Management Practices to Reduce Wheat Yield Gaps in Dry Regions The use of on-farm data has strengths and weaknesses compared with controlled experiments (Sadras et al., 2002).”
Adaptation of wheat, barley, canola, field pea and chickpea to the thermal environments of Australia (2015, background): “Even in low-fertility Mallee soils, the photothermal quotient explained a significant part of the variation in the yield of commercial, often water-stressed wheat crops (Sadras et al. 2002).”