Résultats de la recherche | Land Portal

Résultats de la recherche

Showing items 1 through 9 of 1079.
  1. Library Resource

    Agricultura Climáticamente Inteligente en Sinaloa, México

    Documents de politique et mémoires
    octobre, 2014
    Mexique, Amérique centrale, Amérique septentrionale, Amérique du Sud

    The climate-smart agriculture (CSA) concept reflects an ambition to improve the integration of agriculture development and climate responsiveness. It aims to achieve food security and broader development goals under a changing climate and increasing food demand.

  2. Library Resource

    Agricultura Climáticamente Inteligente en Costa Rica

    Documents de politique et mémoires
    octobre, 2014
    Costa Rica, Amérique centrale, Amérique du Sud

    The climate-smart agriculture (CSA) concept reflects an ambition to improve the integration of agriculture development and climate responsiveness. It aims to achieve food security and broader development goals under a changing climate and increasing food demand.

  3. Library Resource

    Agricultura Climáticamente Inteligente en El Salvador

    Documents de politique et mémoires
    octobre, 2014
    El Salvador, Amérique centrale, Amérique du Sud

    The climate-smart agriculture (CSA) concept reflects an ambition to improve the integration of agriculture development and climate responsiveness. It aims to achieve food security and broader development goals under a changing climate and increasing food demand.

  4. Library Resource
    Articles et Livres
    décembre, 1985
    Colombie, Amérique centrale, Amérique du Sud

    The factors influencing the size and shape of exptl. field plots (area of exptl. lot, soil types, trial objective, no. of replicates, and degree of accuracy and homogeneity of the exptl. material) for the execution of field expt. are discussed. The basic principles of the following different methods to determine plot size are described: max. curve method, method of Koch and Rigney, Hatheway's method, and the max. curve method using the multiple linear regression model. Some considerations are presented on the border effect and on plot size in bush and climbing bean trials.

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