Effect of water-saving irrigation regime on whole-plant yield and nutritive value of maize hybrids

Masoero, Francesco; Gallo, Antonio; Giuberti, Gianluca; Fiorentini, L.; Moschini, Maurizio

doi:10.1002/jsfa.6137

Cited by 18 publications

(6 citation statements)

References 29 publications

(46 reference statements)

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“…Adoption of more technically efficient irrigation infrastructure would help offset the crop water needs; each 10% reduction in PSIA would decrease irrigation depth by approximately 5.0%, when holding other factors constant (Figure 3b). These results are similar to earlier studies conducted on experimental fields Masoero et al 2013) and state-level data (McDonald and Girvetz 2013), which also suggested drier climate leads to additional irrigation use but that it can be partially counteracted by greater-efficiency irrigation technology. The county-level datasets used here not only confirm the past studies but also provide a broader-scale quantification.…”

Section: Discussionsupporting

confidence: 91%

Adaptation of Irrigation Infrastructure on Irrigation Demands under Future Drought in the United States*

et al. 2015

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More severe droughts in the United States will bring great challenges to irrigation water supply. Here, the authors assessed the potential adaptive effects of irrigation infrastructure under present and more extensive droughts. Based on data over 1985-2005, this study established a statistical * Kansas Agricultural Experiment Station Contribution Number 15-066-J.model that suggests around 4.4% more irrigation was applied in response to a one-unit reduction in the Palmer drought severity index (PDSI), and approximately 5.0% of irrigation water application could be saved for each 10% decrease in the areas supplied by surface irrigation infrastructure. Based on the results, the model-projected irrigation infrastructure has played a greater role in changes in irrigation than drought in most areas under the current climate except some southwestern counties. However, under the predicted future more severe drought in 2080-99 under the representative concentration pathways 4.5 scenario, the model projected that the drought will require 0%-20% greater irrigation amounts assuming the current irrigation efficiency. Under the predicted drought scenario, irrigation depth can be maintained at or below the baseline level in the western United States only when better irrigation infrastructure replaced 40% of the current surface irrigation infrastructure areas. In the northeast United States, limited changes in irrigation depth were predicted under different irrigation infrastructure scenarios because the percentage of surface irrigation area is already low under the baseline climate, and thus there is limited opportunity to adapt to future drought with advanced irrigation infrastructure. These results indicate that other effective solutions are required to complement these measures and aid U.S. agriculture in the future, more extensive drought.

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Section: Discussionsupporting

confidence: 91%

Adaptation of Irrigation Infrastructure on Irrigation Demands under Future Drought in the United States*

et al. 2015

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“…The limitation of this approach is that the measurement of starch degradation should be carried out over differing incubation times to assess rates of starch digestion, which is a laborious process and often results in variable estimates of starch digestion rate. Commonly, the evaluation of in vitro starch degradability is analyzed after a 6, 7, or 8 h incubation, even if shorter times (i.e., from 1 to 5 h) have been proposed . The type of rumen fluid used as inoculum can strongly influence the overall in vitro estimates of starch degradation especially if the rumen microflora have not been previously adapted to high starch diets .…”

Section: Methods To Evaluate Starch Digestion In Feed Grainsmentioning

confidence: 99%

Factors affecting starch utilization in large animal food production system: A review

et al. 2013

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Dietary starch from feed grains represent the major energy-yielding sources in diets for large animals and starch effective digestion has a great impact on animal energy intake for meeting the substantial energy requirement to improve meat or milk productions. In general, site, extent and rate of starch digestion are affected by intrinsic and external factors that can be interrelated and are thus not easily defined. As a consequence, research to obtain a deeper knowledge on how starch chemical and structural compositions may affect starch digestion potential of feed grains and therefore their nutritional value has progressed recently. The objectives of this review are: (1) to give an overview on inherent starch primary structures and interactions with other compounds within feed grains; (2) to discuss factors affecting starch digestion potential in feed grains; (3) to explore starch digestion mechanism, and linkages with animal performances, both for swine and ruminants. The criticism of methods commonly used to estimate starch digestibility from feed grains for swine and ruminants are also discussed.

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“…In the present experiment, water supply throughout the CS cropping season was considerably lower than this level ranging between 231 and 572 mm among sites and years. Masoero et al [44] reported a lack of difference in CS yield and quality grown under different water supply. Inversely and contrary to our study, Gallo et al [45] reported a negative effect of water restriction on biomass yield and nutritive characteristics.…”

Section: Predicting Yield and Nutrient Concentrationsmentioning

confidence: 99%

Corn Forage Yield and Quality for Silage in Short Growing Season Areas of the Canadian Prairies

2018

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The development of short-season hybrids has made corn (Zea mays L.) silage (CS) production possible in cooler areas. This work aimed at determining biomass yield and nutritive quality of short-season corn CS hybrids. Six corn hybrids were grown in three years at four locations within the Canadian prairies with four field replications. Hybrids were harvested before occurrence of frost at a target dry matter (DM) content of 300 to 400 g kg−1. Corn heat units (CHU) from seeding to harvesting (CHUseed-harv) and water supply were recorded. Samples were analysed for nutrient content; i.e., DM, neutral detergent fiber (NDF), crude protein (CP), starch, and in vitro DM and NDF digestibilities (48 h incubation). Then, CHUseed-harv, water supply, whole plant DM, CHU rating of the hybrid, and cob percentage were assessed as predictors of nutrient content. Location, hybrid, and year affected nutrient composition and yield. Overall, CP and NDF were positively correlated (r = 0.48, p < 0.01), but both were negatively correlated with DM yield (r = −0.63, −0.28, p < 0.01) and starch (both r = 0.71, p < 0.01). Within and among locations, CHUseed-harv differently affected nutrient composition and DM yield. However, DM yield was the most predictable factor (R2 = 0.86) with CHUseed-harv being the strongest contributor (48%) to the overall variability, followed by water supply (23%). Whole plant DM and CHUseed-harv were also good predictors of starch (R2 = 0.54). This work showed the high variability of biomass yield and nutritive quality of short-season CS hybrids grown in Northern areas.

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Effect of water-saving irrigation regime on whole-plant yield and nutritive value of maize hybrids

Abstract: The lack of differences on yield and nutritive value in tested maize hybrids grown under different water supply suggests the water-saving regime could be suitable for an optimal use of available water in maize management.

Cited by 18 publications

References 29 publications

Adaptation of Irrigation Infrastructure on Irrigation Demands under Future Drought in the United States*

Adaptation of Irrigation Infrastructure on Irrigation Demands under Future Drought in the United States*

Factors affecting starch utilization in large animal food production system: A review

Corn Forage Yield and Quality for Silage in Short Growing Season Areas of the Canadian Prairies

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