Impacts of fertilisers and legumes on N2O and CO2 emissions from soils in subtropical agricultural systems: A simulation study

Huth, Neil; Thorburn, Peter J.; Radford, BJ; Thornton, Craig

doi:10.1016/j.agee.2009.12.016

Cited by 90 publications

(44 citation statements)

References 32 publications

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“…Teixeira et al (2015), using APSIM, demonstrated the importance of rotations for simulating climate impact assessments and Sennhenn et al (2017) found new niches for short season legumes in Kenya. APSIM has been used in simulation studies for yield gap assessment in legumes such as soybean, groundnut, pigeonpea, and chickpea in India (Bhatia et al, 2007;Chauhan et al, 2008), in simulation of soil temperature in the podding zone of groundnut (Chauhan et al, 2007), and in assessment of the impacts of fertilizers and legumes on N 2 O and CO 2 emissions from soils in subtropical agricultural systems (Huth et al, 2010). With the availability of high throughput phenotyping platforms, the use of crop models in a genetic context has become possible.…”

Section: Crop Growth Simulation and Modelling Approachesmentioning

confidence: 99%

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

Varshney

Thudi

Pandey

et al. 2018

Journal of Experimental Botany

105

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Grain legumes form an important component of the human diet, provide feed for livestock, and replenish soil fertility through biological nitrogen fixation. Globally, the demand for food legumes is increasing as they complement cereals in protein requirements and possess a high percentage of digestible protein. Climate change has enhanced the frequency and intensity of drought stress, posing serious production constraints, especially in rainfed regions where most legumes are produced. Genetic improvement of legumes, like other crops, is mostly based on pedigree and performance-based selection over the past half century. To achieve faster genetic gains in legumes in rainfed conditions, this review proposes the integration of modern genomics approaches, high throughput phenomics, and simulation modelling in support of crop improvement that leads to improved varieties that perform with appropriate agronomy. Selection intensity, generation interval, and improved operational efficiencies in breeding are expected to further enhance the genetic gain in experimental plots. Improved seed access to farmers, combined with appropriate agronomic packages in farmers' fields, will deliver higher genetic gains. Enhanced genetic gains, including not only productivity but also nutritional and market traits, will increase the profitability of farming and the availability of affordable nutritious food especially in developing countries.

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Section: Crop Growth Simulation and Modelling Approachesmentioning

confidence: 99%

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

Varshney

Thudi

Pandey

et al. 2018

Journal of Experimental Botany

105

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“…Nitrate-N losses, therefore, could be similar in 655 magnitude to that of soil chloride at this site. Some losses via denitrification are also 656 possible (Huth et al, 2010). Estimates of greenhouse gas emissions were made from the losses in SOC stocks 671 under cropping, potential N 2 O emissions from both pasture and cropping systems, and 672 CH 4 emissions from animals grazing the pasture using IPCC default emission factors 673 (IPCC, 2006;2007) (Table 9).…”

Section: Dynamics Of Organic Carbon In Soil and Soil Fractions 488 489mentioning

confidence: 99%

“…These fractions or components of SOC can be used in 98 SOC modelling, for example in the RothC (Skjemstad et al, 2004) and APSIM 99 models (Huth et al, 2010). 100…”

mentioning

confidence: 99%

Turnover of organic carbon and nitrogen in soil assessed from δ13C and δ15N changes under pasture and cropping practices and estimates of greenhouse gas emissions

Dalal

Thornton²,

Cowie³

2013

Science of The Total Environment

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“…The complete study of these types of impacts and opportunities for intervention requires application of 'adaptation science' (Howden et al 2007;Meinke et al 2009) and studies of the impact of agriculture itself on global warming (e.g. Biswas et al 2010;Huth et al 2010), but here we limit our interest to the more direct impacts of climate change on plant pests and plant production and quality in food, fibre, and forestry systems. Hatfield and Prueger (2011) concisely review the agro-ecological implications of climate change for plant responses, considering growth, yield, and quality, and they emphasise the importance of interactions among the factors of elevated CO 2 , temperature, rainfall patterns, and nitrogen (N) fertiliser.…”

Section: Introductionmentioning

confidence: 99%

Plant adaptation to climate change—opportunities and priorities in breeding

et al. 2012

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Abstract. Climate change in Australia is expected to influence crop growing conditions through direct increases in elevated carbon dioxide (CO 2 ) and average temperature, and through increases in the variability of climate, with potential to increase the occurrence of abiotic stresses such as heat, drought, waterlogging, and salinity. Associated effects of climate change and higher CO 2 concentrations include impacts on the water-use efficiency of dryland and irrigated crop production, and potential effects on biosecurity, production, and quality of product via impacts on endemic and introduced pests and diseases, and tolerance to these challenges. Direct adaptation to these changes can occur through changes in crop, farm, and value-chain management and via economically driven, geographic shifts where different production systems operate. Within specific crops, a longer term adaptation is the breeding of new varieties that have an improved performance in 'future' growing conditions compared with existing varieties.In crops, breeding is an appropriate adaptation response where it complements management changes, or when the required management changes are too expensive or impractical. Breeding requires the assessment of genetic diversity for adaptation, and the selection and recombining of genetic resources into new varieties for production systems for projected future climate and atmospheric conditions. As in the past, an essential priority entering into a 'climate-changed' era will be breeding for resistance or tolerance to the effects of existing and new pests and diseases. Hence, research on the potential incidence and intensity of biotic stresses, and the opportunities for breeding solutions, is essential to prioritise investment, as the consequences could be catastrophic. The values of breeding activities to adapt to the five major abiotic effects of climate change (heat, drought, waterlogging, salinity, and elevated CO 2 ) are more difficult to rank, and vary with species and production area, with impacts on both yield and quality of product. Although there is a high likelihood of future increases in atmospheric CO 2 concentrations and temperatures across Australia, there is uncertainty about the direction and magnitude of rainfall change, particularly in the northern farming regions. Consequently, the clearest opportunities for 'in-situ' genetic gains for abiotic stresses are in developing better adaptation to higher temperatures (e.g. control of phenological stage durations, and tolerance to stress) and, for C 3 species, in exploiting the (relatively small) fertilisation effects of elevated CO 2 . For most cultivated plant species, it remains to be demonstrated how much genetic variation exists for these traits and what value can be delivered via commercial varieties. Biotechnology-based breeding technologies (marker-assisted breeding and genetic modification) will be essential to accelerate genetic gain, but their application requires additional investment in the understanding, genetic characterisation,...

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Impacts of fertilisers and legumes on N2O and CO2 emissions from soils in subtropical agricultural systems: A simulation study

Cited by 90 publications

References 32 publications

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

Turnover of organic carbon and nitrogen in soil assessed from δ13C and δ15N changes under pasture and cropping practices and estimates of greenhouse gas emissions

Plant adaptation to climate change—opportunities and priorities in breeding

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