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(1999) A tropical forage solution to poor quality ruminant diets: A review of Lablab purpureus. (1985 c) An analysis of the effects of water deficits on grain legumes grown in a semi-arid tropical environment in terms of radiation interception and its efficiency of use. (1985 b) Canopy developments in grain legumes grown under different soil water regimes in a semi-arid tropical environment. (1985 a) Phenology, seed yield and water use of grain legumes grown under different soil water regimes in a semi-arid tropical environment. (Australian Centre for International Agricultural Research: Canberra) In ‘Tropical legumes for sustainable farming systems in southern Africa and Australia’. (2004) Grain yield of maize grown in sole and binary cultures with cowpea and lablab in the Limpopo province of South Africa. (Novosti Press Agency Publishing House: Moscow) In ‘Proceedings of the XII International Grassland Congress’. (1974) Relations between pasture attributes and liveweight gains on a subtropical pasture. (Australian Centre for International Agricultural Research: Canberra, ACT) (2004) Lablab density and planting-date effects on growth and grain yield in maize-lablab intercrops. (1998 ) Effects of temperature and photoperiod on phenology as a guide to the selection of annual legume cover and green manure crops for hillside farming systems. European Journal of Agronomy 18, 267–288. (2003 ) An overview of APSIM, a model designed for farming systems simulation. (2000 ) Measurements of nutritive value of a range of tropical legumes and their use in legume evaluation. (2002) ‘The Australian soil classification.’ 2nd edn.
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Proceedings of the Australian Society of Animal Production 14, 204–208. (1985 a) Growth, canopy structure and chemical composition of Lablab purpureus cv. Journal of Agricultural Science 95, 547–554. (1980 ) The feed intake and grazing behaviour of cattle grazing a crop of Lablab purpureus cv. (2005 ) Model predictions of winter rainfall effects on N dynamics of winter wheat rotation following legume cover crop or fallow. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS. (1997 ) GRAZPLAN: Decision support systems for Australian grazing enterprises II. Highworth, Mactroptilium bracteatum and Macrotyloma daltonii to different intensities and frequencies of cutting. (2005 ) A survey of the use of lucerne, butterfly pea and lablab in ley pastures in the mixed-farming systems of northern Australia. (2004) Animal production from legume-based ley pastures in southeastern Queensland. Queensland Agricultural Journal March–April, 110–113. (1988 ) Tropical and subtropical pasture legumes. Australian Journal of Agricultural Research 50, 909–924.
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Legume growth, nitrogen fixation, and water use.
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(1999 b) Legume and opportunity cropping systems in central Queensland. | Crossref | GoogleScholarGoogle Scholar | Australian Journal of Experimental Agriculture 39, 445–456. (1999 a) Changes in soil chemical and physical properties following legumes and opportunity cropping on a cracking clay soil. Yield reductions were found in the more inland and southern-most parts of the region where summer rainfall and/or temperatures are lower. The effect of variable rainfall and temperature in northern Australia was analysed using the model and historical climate data. Observed time courses of biomass production for both the annual and perennial cultivars were reproduced well, as was the partitioning of biomass into leaves and stems. Observed biomass ranged from 63 to 13055 kg dry matter/ha and was predicted by the model in an independent test with a root mean square deviation of 770 kg dry matter/ha. The model was tested against data from experiments including different locations, cultivars, sowing dates, soil types, and water availability. Parameters describing leaf area expansion, biomass accumulation, and partitioning were derived from field experiments, and other essential parameters were assumed from similar tropically adapted legumes. Endurance) growth, designed for use in the cropping systems simulator, APSIM (Agricultural Production Systems Simulator). This paper reports on the development and testing of a model of lablab (annual cultivar cv. The capability to simulate lablab production across a range of environments in northern Australia provides a useful tool for exploring agronomic and management options and risk assessments for the crop.