Designing cotton ideotypes for the future: Reducing risk of crop failure for low input rainfed conditions in Northern Cameroon

Loison, Romain; Audebert, Alain; Debaeke, Philippe; Hoogenboom, Gerrit; Leroux, Louise; Palai, Oumarou; Gérardeaux, Edward

doi:10.1016/j.eja.2017.08.003

Cited by 28 publications

(8 citation statements)

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“…The DSSAT CSM can simulate crop growth, development, and yield in response to variability in weather conditions, soil properties, and management practices (Jones et al, 2003;Hoogenboom et al, 2012Hoogenboom et al, , 2015Thorp et al, 2014). The DSSAT CSM CROPGRO-Cotton model has been extensively used by researchers worldwide for various applications (Buttar et al, 2007;Pathak et al, 2007;Ortiz et al, 2009;Pereira et al, 2009;Thorp et al, 2010Thorp et al, , 2014Modala et al, 2015;Adhikari et al, 2016Adhikari et al, , 2017Mauget et al, 2017;Loison et al, 2017;Amin et al, 2018;Spivey et al, 2018).…”

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confidence: 99%

Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

Ale¹,

Omani²,

Himanshu³

et al. 2020

Transactions of the ASABE

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HighlightsIrrigation water use efficiency was consistently higher under deficit irrigation as compared to full irrigation.Irrigation water use was always less than the annual allowable pumping limit under deficit irrigation.The first/second week of September was ideal for terminating irrigation under full/deficit irrigation in normal years.Ideal irrigation termination periods in wet/dry years were a week earlier/later than those in normal years.Abstract. Cotton ( L.) production in the Texas High Plains (THP) region relies heavily on irrigation with groundwater from the underlying Ogallala Aquifer. However, rapidly declining groundwater levels in the aquifer and increasing pumping costs pose challenges for sustainability of irrigated cotton production in this region. Adoption of efficient irrigation strategies, such as terminating irrigation at an appropriate time in the growing season, could enable producers to increase irrigation water use efficiency (IWUE) while maintaining desired yield goals. The objective of this study was to determine optimum irrigation termination periods for cotton production in the THP under full and deficit irrigation conditions using the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO-Cotton model, which was evaluated in a prior study in the THP using measured data from an IWUE field experiment at Halfway, Texas. The treatment factors in the field experiment included irrigation capacities of 0 mm d-1 (low, L), 3.2 mm d-1 (medium, M), and 6.4 mm d-1 (high, H), applied during the vegetative, reproductive, and maturation growth stages. This study focused on a full irrigation (HHH) treatment and three deficit irrigation (LMH, LHM, and LMM) treatments. Eight irrigation termination dates with a one-week interval between 15 August and 30 September were simulated, and the impact of irrigation termination date on cotton IWUE and seed cotton yield were studied by dividing the 39-year (1978 to 2016) simulation period into dry, normal, and wet years based on the precipitation received from 1 April to the simulated irrigation termination date. Results indicated that the simulated IWUE was consistently higher under the LHM, LMH, and LMM treatments when compared to the HHH treatment. Based on the simulated average seed cotton yield and IWUE, optimum irrigation termination periods for cotton were found to be the first week of September (about 118 days after planting, DAP) for the HHH and LMH treatments and the second week of September (125 DAP) for the LHM and LMM treatments in normal years. In wet years, optimum irrigation termination periods were a week earlier than those in normal years and a week later in dry years for the HHH, LHM, and LMM treatments. For the LMH treatment, the optimum irrigation termination period in wet years was the same as that in normal years and two weeks later in dry years. The results from this study along with field-specific, late-season information will assist THP cotton producers in making appropriate irrigation termination decisions for improving economic productivity of the Ogallala Aquifer and thereby ensuring water security for agriculture. However, the recommendations from this study should be used with caution, as the optimum irrigation termination periods could potentially change with changes in cultivar characteristics, soil type, climate, and, crop management practices. Keywords: CROPGRO-Cotton, Deficit irrigation, DSSAT, Full irrigation, Irrigation water use efficiency, Seed cotton yield.

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Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

Ale¹,

Omani²,

Himanshu³

et al. 2020

Transactions of the ASABE

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“…Cameroon can be anticipated by implementing alternative farming systems and techniques. Loison & al. (2017) added to these studies by indicating that farming practices (Nonoptimal planting dates) and lack of genetic gain are the main causes of the decrease in crop yields in this region.…”

Section: Literature Reviewmentioning

confidence: 99%

Climate change and Rice yield in Cameroon

Issidor¹

2022

Preprint

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Rice is one of the most consumed cereals in Cameroon, the production of which remains affected by several factors, including excessive temperatures and the irregular increase in rainfall. This study used the VAR model to explore the reciprocal influence of climate change with rice yield via the evolution of rainfall and temperature as well as the intensity of CO2 emissions per rice product in the northern zone of the Cameroon. The data used comes from FAOSTAT and the “World Bank Group Climate Change Knowledge Portal over the period between 1975 and 2021. The following results were obtained. i) The constant increase in rainfall during the rainy season reduces the yield of rice and that of temperature improves the yield of rice. ii) the CO2 emission intensity per unit of rice production has a negative effect on its yield. iii) This CO2 emission reduces the rainfall pattern and stimulates the rise in temperatures and therefore reinforces climate change. We therefore recommend that rice farmers be attentive to the reciprocal effects of climate change and rice cultivation and to use new techniques allowing the reduction of CO2 emission intensity by using more organic fertilizers than chemical ones.

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“…Initially developed on annual pure crops (Mock and Pearce, 1975;Rasmusson, 1987;Peng et al, 2008;Hanocq et al, 2009;Loison et al, 2017), the ideotype-based approach is generic and has also been experienced on perennial species like forest and fruit trees (Dickmann et al, 1994;Socias et al, 1998;Lauri and Costes, 2005;Cilas et al, 2006;Solis-Guillen et al, 2017) and more recently on heterogeneous crops like variety mixtures (Borg et al, 2015).…”

Section: Changes In Cropping Conditions and Breeding Goalsmentioning

confidence: 99%

Using ideotypes to support selection and recommendation of varieties

Gauffreteau¹

2018

OCL

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Climate change, synthetic input reduction and new cropping practices contribute to renew deeply and rapidly the cropping conditions and the required attributes of the varieties. To provide varieties adapted to those multiple cropping situations and objectives, stakeholders of selection, assessment and recommendation need new methods. Indeed, selecting a variety on a large number of objectives simultaneously may be complicated and inefficient. To improve the efficiency of the selection, Donald (1968) proposed an ideotype-based approach. It consists first in building a plant model by pointing out the mechanisms and plant traits to reach the goals and then only selecting varieties on those traits. To do so, a three-step method is presented: (i) defining the varietal specifications; (ii) designing and building an ideotype; and (iii) selecting varieties according to the ideotype and assessing their ability to meet the specifications. Tools available for helping the implementation of such a method are identified in different fields (computing, design, genetics…). This ideotype approach is presented as a valuable framework to support a collective design as it eases the interactions between stakeholders from different scientific and technical fields and the use of different forms of knowledge either scientific or empirical.

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Designing cotton ideotypes for the future: Reducing risk of crop failure for low input rainfed conditions in Northern Cameroon

Cited by 28 publications

References 89 publications

Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

Determining Optimum Irrigation Termination Periods for Cotton Production in the Texas High Plains

Climate change and Rice yield in Cameroon

Using ideotypes to support selection and recommendation of varieties

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