Growth analysis and modelling of CIP potato genotypes for their characterization in two contrasting environments of Burundi

  • D H
  • J F
  • G R
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Abstract

A version of LINTUL-POTATO model was used in the context of highlands and lowlands of Burundi to calculate a potential yield as limited by meteorological factors only. This potential yield was compared to the yields obtained in field experiments conducted in the respective areas using potato genotypes from International Potato Center (CIP) reported to be adapted to tropical conditions. Deviations of observed yields from potential yield varied with genotype and location. These deviations were used to characterize the behaviour of genotypes and their adaptation to the region. The field observations confirmed that high temperatures decrease the tuber yield and harvest index and increase shoots weight at final harvest and the model simulated correctly these effects. The large variation of yield deviations showed that the genotypes differed widely in the response of their yield to temperature. But other factors than temperature such as differences in sensitivity to diseases, occurrence of pests, fertilization etc., may have played a role. Genotypes suitable for highlands and others suitable for lowlands were identified. Selected genotypes for lowlands (where temperatures are 8°C higher compared to highlands) could be also of great use even in cooler areas where temperature is expected to rise due to global warming. The simulation model showed the extent of further losses of potential yields in lowlands if drought stress is not addressed properly.

Figures

  • Table 1. Description of experimental locations and experiments.
  • Table 2. Parentage of the potato genotypes used in the trials (CIP, 2011).
  • Table 3. LINTUL-POTATO model as described by Kooman and Haverkort (1995a).
  • Table 4. List of acronyms and parameters used in the model.
  • Table 5. Observed dry tuber yield of the best genotypes obtained at different dates in the field trials.
  • Figure 1. Cumulative dry matter weight per plant organ over time of the trial conducted in lowlands (Mparambo) in 2006. DAE stands for days after emergence. Vertical bars represent the standard errors of differences between means per plant organ. Genotypes are coded as follows: 388611.22 (CIP01), 388972.22 (CIP02), 390663.8 (CIP03), 395193.4 (CIP04), 395194.9 (CIP05), Ndinamagara (NDINA), Ruhanyura (RUHA) and Victoria (VICTO).
  • Figure 2. Schematic representation of the proportional distribution of the dry weight of the different plant organs relatively to total plant weight (without roots) for eight potato genotypes tested in lowlands (Mparambo) in 2006. DAP stands for days after planting. Genotypes are coded as follows: 388611.22 (CIP01), 388972.22 (CIP02), 390663.8 (CIP03), 395193.4 (CIP04), 395194.9 (CIP05), Ndinamagara (NDINA), Ruhanyura (RUHA) and Victoria (VICTO).
  • Figure 3. Simulated (solid and dotted line) and observed (scatter plot) values of tuber dry yield (W tub) for eight potato genotypes tested in Burundi: highlands (A and B) and lowlands (C and D). Genotypes are coded as follows: 388611.22 (CIP01), 388972.22 (CIP02), 390663.8 (CIP03), 395193.4 (CIP04), 395194.9 (CIP05), Ndinamagara (NDINA), Ruhanyura (RUHA) and Victoria (VICTO). DAE stands for days after emergence and fwt for coefficient of drought stress. Vertical bars represent the standard errors of differences between obtained means at each date of observation.

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APA

D, H., J, F. L., & G, R. (2012). Growth analysis and modelling of CIP potato genotypes for their characterization in two contrasting environments of Burundi. African Journal of Agricultural Research, 7(46), 6173–6185. https://doi.org/10.5897/ajar10.781

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