Effective Rainfall Analysis to Guide Farm and Predict Yields

dc.bibliographicCitation.endpage	247	en
dc.bibliographicCitation.stpage	247	en
dc.bibliographicCitation.title	East African Agricultural And Forestry Journal	en
dc.bibliographicCitation.volume	4
dc.contributor.author	Stewart, J.I.
dc.date.accessioned	2015-07-15T08:59:55Z
dc.date.available	2015-07-15T08:59:55Z
dc.date.issued	1980	en
dc.description.abstract	Kenya is presently acknowledged as the world leader in population growth rate. Consequently, the traditionally rich agricultural lands with high rainfall, but which are less than 15% of the nation's area, have for some time been overcrowded. The result is a fast-moving process of expansion of smallholder crop farming into ever drier historical grazing areas.	en
dc.identifier.citation	Stewart, J.I. (1980). Effective Rainfall Analysis to Guide Farm and Predict Yields. In Annual General Meeting of the Soil Science Society of East Africa, 4, 247. https://kalroerepository.kalro.org/handle/0/4506	en
dc.identifier.issn	0012-8325	*
dc.identifier.uri	https://kalroerepository.kalro.org/handle/0/4506
dc.language.iso	en	en
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/	en
dc.subject.agrovoc	Soil sciences	en
dc.subject.agrovoc	society	en
dc.subject.agrovoc	analysis	en
dc.subject.agrovoc	Rainfall	en
dc.subject.agrovoc	Farms	en
dc.subject.agrovoc	Agricultural practices	en
dc.title	Effective Rainfall Analysis to Guide Farm and Predict Yields	en
dc.type	Journal Contribution	*
dc.type.refereed	Refereed	en
dc.type.specified	Article	en

Files

Now showing 1 - 1 of 1