Adaptation to diverse semi-arid environments of sorghum genotypes having different plant type and sensitivity to photoperiod

Abstract Climatologists, breeders and agronomists need tools to translate variable climatic conditions in semi-arid environments into probable performance, and to translate genotype characteristics into agro-ecological fit of cultivars. Although geographic adaptation of West African sorghum cultivars is largely related to local characteristics of the wet season, they require, in addition to drought tolerance, effective phenological mechanisms for temporal escape from drought and excessive humidity that would favour pests and diseases during sensitive development stages. A simulation experiment was conducted to predict the potential and attainable (water limited) growth and yield of three sorghum genotypes differing in plant type and response to photoperiod for combinations of five sowing dates and three sites on the N–S climatic gradient in Mali, for the period from 1971 to 2004. The models used were SARRA-H equipped with the phenological model Impatience . Onset and end dates of the rainy season were estimated with the simple soil water balance model BIP. The resulting scenarios were evaluated on the basis of (i) escape from drought, (ii) escape of grain development phases from periods of high pest and disease pressure and (iii) the resulting “safe” periods for sowing. The latter took into account the agronomic advantage associated with early sowing, observed by farmers to minimize weed competition and decreasing soil fertility during the wet season. The results indicated that potentially high yielding and photoperiod insensitive “modern” cultivars display an advantage only in the north where the rainy season is short. Sensitive response of flowering to photoperiod was essential for more humid environments having a long wet season, resulting in appropriate seasonal timing of flowering and greater flexibility of crop calendars. The methodology is discussed with respect to its suitability for applications in crop breeding, geographic targeting of existing cultivars and studies on the agricultural impact of climate variability and change.

[1]  A. Samba.  Les logiciels DHC de diagnostic hydrique des cultures. Prévision des rendements du mil en zones soudano-sahéliennes de l’Afrique de l’Ouest , 1999 .

[2]  D. Byerlee,et al.  Impacts of food crop improvement research: evidence from sub-Saharan Africa. , 2000 .

[3]  M. Dingkuhn,et al.  Past, Present and Future Criteria to Breed Crops for Water-Limited Environments in West Africa , 2006 .

[4]  J. Vose,et al.  Vertical leaf area distribution, light transmittance, and application of the Beer–Lambert Law in four mature hardwood stands in the southern Appalachians , 1995 .

[5]  Arona Diedhiou,et al.  The West African monsoon dynamics. Part I: Documentation of intraseasonal variability , 2003 .

[6]  M. Dingkuhn,et al.  Climatic determinants of irrigated rice performance in the Sahel — I. Photothermal and micro-climatic responses of flowering , 1995 .

[7]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[8]  D. Butler,et al.  Sorghum head-bugs and grain molds in West and Central Africa: II. Relationships between weather, head-bug and mold damage on sorghum grains , 2003 .

[9]  S. Janicot,et al.  The West African Monsoon Dynamics. Part II: The “Preonset” and “Onset” of the Summer Monsoon , 2003 .

[10]  H. Berge,et al.  Simulation of Ecophysiological Processes of Growth in Several Annual Crops , 1989 .

[11]  H. Sinoquet,et al.  An overview of the crop model STICS , 2003 .

[12]  K. Homma,et al.  Delay of heading date as an index of water stress in rainfed rice in mini-watersheds in Northeast Thailand , 2004 .

[13]  G. Alagarswamy,et al.  Modeling the Growth and Development of Sorghum and Pearl Millet , 1989 .

[14]  D. J. Flower.  Physiological and Morphological Features Determining the Performance of the Sorghum Landraces of Northern Nigeria , 1996, Experimental Agriculture.

[15]  Smith Martin,et al.  Cropwat : a computer program for irrigation planning and management , 1992 .

[16]  J. Doorenbos,et al.  Yield response to water , 1979 .

[17]  Pierre Sibiry Traoré,et al.  Modeling of sorghum response to photoperiod: a threshold-hyperbolic approach , 2004 .

[18]  S. Traoré,et al.  Climate Prediction and Agriculture: What Is Different about Sudano-Sahelian West Africa? , 2007 .

[19]  D. Andrews.  Effects of Date of Sowing on Photosensitive Nigerian Sorghums , 1973, Experimental Agriculture.

[20]  J. Hansen,et al.  Climate Prediction and Agriculture: Advances and Challenges , 2010 .

[21]  G. Hammer,et al.  Tillering in grain sorghum over a wide range of population densities: identification of a common hierarchy for tiller emergence, leaf area development and fertility. , 2002, Annals of botany.

[22]  Yun Xie,et al.  Maize and Sorghum Simulations with CERES-Maize, SORKAM, and ALMANAC under Water-Limiting Conditions , 2001 .

[23]  F. Affholder.  Empirically modelling the interaction between intensification and climatic risk in semiarid regions , 1997 .

[24]  D. Reicosky,et al.  Row Spacing Effects on Light Extinction Coefficients of Corn, Sorghum, Soybean, and Sunflower , 1996 .

[25]  M. Dingkuhn,et al.  Climatic determinants of irrigated rice performance in the Sahel : II. Validation of photothermal constants and characterization of genotypes , 1995 .

[26]  D. Major.  PHOTOPERIOD RESPONSE CHARACTERISTICS CONTROLLING FLOWERING OF NINE CROP SPECIES , 1980 .

[27]  Graeme L. Hammer,et al.  Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields. , 2000 .

[28]  S. Chapman,et al.  Genotype by environment interactions affecting grain sorghum. I. Characteristics that confound interpretation of hybrid yield , 2000 .

[29]  James Hansen,et al.  Climate Prediction and Agriculture , 2007 .

[30]  Graeme L. Hammer,et al.  Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments , 2000 .

[31]  M. Wopereis,et al.  Decision support tools for smallholder agriculture in sub-Saharan Africa: a practical guide. , 2003 .

[32]  D. L. Curtis.  The Relation Between Yield and Date of Heading of Nigerian Sorghums , 1968, Experimental Agriculture.

[33]  Christian Baron,et al.  Decision support tools for rainfed crops in the Sahel at the plot and regional scales. , 2003 .

[34]  Michaël Dingkuhn,et al.  A model of sorghum photoperiodism using the concept of threshold-lowering during prolonged appetence , 2008 .

[35]  R. C. Muchow,et al.  Radiation Use Efficiency , 1999 .

[36]  T. Keisling.  Calculation of the Length of Day1 , 1982 .

[37]  M. Sivakumar,et al.  PREDICTING RAINY SEASON POTENTIAL FROM THE ONSET OF RAINS IN SOUTHERN SAHELIAN AND SUDANIAN CLIMATIC ZONES OF WEST AFRICA , 1988 .

[38]  Willem A. Stoop,et al.  A strategy to raise the productivity of subsistence farming systems in the west African semi-arid tropics. , 1982 .

[39]  M. Dingkuhn,et al.  Potential contribution of dwarf and leaf longevity traits to yield improvement in photoperiod sensitive sorghum , 2008 .

[40]  G. Louarn,et al.  Does panicle initiation in tropical sorghum depend on day-to-day change in photoperiod ? , 2004 .

[41]  P. Craufurd,et al.  Adaptation of sorghum: characterisation of genotypic flowering responses to temperature and photoperiod , 1999, Theoretical and Applied Genetics.

[42]  Christian Baron,et al.  Agricultural impacts of large-scale variability of the West African monsoon , 2005 .

[43]  D. Blondel.  Contribution à la connaissance de la dynamique de l'azote minéral en sol sableux (dior) au Sénégal , 1971 .

[44]  M. Vaksmann,et al.  Le photopériodisme des sorghos africains , 1996 .

[45]  P. Franquin,et al.  FAO/UNESCO/WMO interagency project on agroclimatology. Technical report on a study of the agroclimatology of the semiarid area south of the Sahara in West Africa. , 1967 .

[46]  G. Hammer,et al.  Does maintaining green leaf area in sorghum improve yield under drought? II. Dry matter production and yield. , 2000 .

[47]  M. Ludlow,et al.  Influence of soil water supply on the plant water balance of four tropical grain legumes , 1986 .

[48]  Christian Baron,et al.  From GCM grid cell to agricultural plot: scale issues affecting modelling of climate impact , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

[49]  P. Craufurd,et al.  Photothermal adaptation of sorghum (Sorghum bicolour) in Nigeria , 2001 .