Modelling stochastic crop response to fertilisation when carry-over matters

Jomini, Patrick; Deuson, Robert; Lowenberg-DeBoer, Jess; Bationo, A.

doi:10.1016/0169-5150(91)90019-h

Cited by 9 publications

(2 citation statements)

References 17 publications

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“…Carry over of P is also well known, although not well documented, in West Africa. Jomini et al (1991) calculated that each kg P 2 O 5 ha À1 applied to sandy soils in Niger increased plant available P in the following year by 0.14 mg kg À1 .…”

Section: Recommendations Based On Fertilizer Response and Nutrient Bamentioning

confidence: 99%

Identification of nutrients limiting cassava yield maintenance on a sedimentary soil in southern Benin, West Africa

Carsky

Toukourou

2005

Nutr Cycl Agroecosyst

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Market opportunities will drive intensification of cassava production and fertilizer will play a role in this. A trial was initiated on 15 farmers' fields (replications) in one village territory in Benin on a relatively fertile sedimentary soil site to identify nutrients limiting cassava yield using nutrient omission plots over three cropping years. There was no response to fertilizer in the first year when fresh root yields in the unamended control averaged 19.1 t ha À1 . In the second year, the control yield was 16 t ha À1 and there were significant reductions from withholding P (3.5 t ha À1 ) and K (2 t ha À1 ) from a complete fertilizer regime. Nutrient balance after 1 and 2 years (cumulative) showed substantial P and K deficits in unamended plots. In the third year, the control yield was 12.9 t ha À1 and effects of withholding K (5.3 t ha À1 ), P (5.0 t ha À1 ) and N (3.0 t ha À1 ) were statistically significant. Soil K was a significant source of variation in yield in the third year. In the third year of annual nutrient additions soil P and K in the top 0.3 m were increased by 37 and 40%, respectively. Based on the cumulative nutrient balance calculation, the annual application needed to compensate nutrient depletion was 13 kg N, 10 kg P, and 60 kg K ha À1 . Partial budget analysis based on these amounts of fertilizer suggested that investment was clearly justified in the third year of continuous cropping at current low cassava prices.

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Section: Recommendations Based On Fertilizer Response and Nutrient Bamentioning

confidence: 99%

Identification of nutrients limiting cassava yield maintenance on a sedimentary soil in southern Benin, West Africa

Carsky

Toukourou

2005

Nutr Cycl Agroecosyst

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“…Plants generally do not utilize all available nutrient stock from the soil in a given growing season; the unused portion is either lost or carried over to the next growing season (Kennedy et al, 1973;Segarra et al, 1989;Harper et al, 2012). Previous research has shown that accretion of carryover nutrients substantially impacts crop yield and needs to be considered in determining the economically optimal rate of nutrient application (Jomini et al, 1991;Raun et al, 1998;Watkins et al, 1998;Lambert et al, 2007;Park et al, 2012;Harper et al, 2012;Dhakal et al, 2019). These studies estimated a residual nutrient carryover function as a linear function of the total available nutrient in the previous year.…”

Section: Nutrient Carryover Considerationmentioning

confidence: 99%

Crop yield response functions in nutrient application: A review

Dhakal

Lange

2021

Agronomy Journal

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The question of the optimal nutrient application in agricultural production continues to gather attention because of its relevance in increasing the profitability of crop production and protecting the environment. Economically optimal nutrient application decision rules are commonly derived by fitting crop yield functions to nutrients. The choice of the appropriate yield functional form thus is critical for estimating unbiased and more precise nutrient recommendations. This review explores recent developments in yield response functions to the nutrient application. We first introduce the concept of the economic theory of production and yield response functions. We then explain, with mathematical equations, some commonly used functional forms: quadratic response, Mitscherlich-Baule, deterministic, and stochastic plateau functions. We also summarize the strengths and weaknesses of each functional form and its implications for nutrient management strategies from an economic perspective. In recent studies, researchers have suggested that stochastic plateau functional forms, both linear and quadratic, could explain yield response to the nutrient application in a better way. Finally, we recommend fitting stochastic plateau functions in conjunction with carryover information in a dynamic optimization setting may yield more accurate optimal nutrient levels. Future research should continue to investigate whether these functional forms perform better in different crop and soil environments.

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Potassium carryover dynamics and optimal application policies in cotton production

Harper¹,

Lambert

Larson

et al. 2012

Agricultural Systems

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Modelling stochastic crop response to fertilisation when carry-over matters

Abstract: Jomini, P.A., Deuson, RR., Lowenberg-DeBoer, J. and Bationo, A., 1991. Modelling stochastic crop response to fertilization when carry-over matters. Agric. Econ., 6: 97-113.

Cited by 9 publications

References 17 publications

Identification of nutrients limiting cassava yield maintenance on a sedimentary soil in southern Benin, West Africa

Identification of nutrients limiting cassava yield maintenance on a sedimentary soil in southern Benin, West Africa

Crop yield response functions in nutrient application: A review

Potassium carryover dynamics and optimal application policies in cotton production

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