Patterns of water stress and temperature for Australian chickpea production
Lachlan Lake A C , Karine Chenu B and Victor O. Sadras A
+ Author Affiliations
- Author Affiliations
A South Australian Research and Development Institute, Waite Campus, GPO Box 397, Adelaide, SA 5001, Australia.
B The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), 203 Tor Street, Toowoomba, Qld 4350, Australia.
C Corresponding author. Email: Lachlan.Lake@sa.gov.au
Crop and Pasture Science 67(2) 204-215 https://doi.org/10.1071/CP15253
Submitted: 29 July 2015 Accepted: 22 October 2015 Published: 22 February 2016
Abstract
The environment is the largest component of the phenotypic variance of crop yield, hence the importance of its quantitative characterisation. Many studies focussed on the patterns of water deficit for specific crops and regions, but concurrent water and thermal characterisations have not been reported. To quantify the types, spatial patterns, frequency and distribution of both water stress and thermal regimes for chickpea in Australia, we combined trial and modelled data. Data from National Variety Trials including sowing time, yield and weather from 295 production environments were entered into simulations. Associations between actual yield, in a range from 0.2 to 5.2 t/ha, actual temperature and modelled crop water stress were explored. Yield correlated positively with minimum temperature in the 800 degree-days window bracketing flowering and the correlation shifted to negative after flowering. A negative correlation between maximum temperature over 30°C and yield was found from flowering through to 1000 degree-days after flowering. Yield was negatively correlated with simulated water stress from flowering until 800 degree-days after flowering.
Cluster analysis from 3905 environments (71 locations × 55 years between 1958 and 2013) identified three dominant patterns for both maximum and minimum temperature accounting for 77% and 61% of the overall variation, and four dominant patterns for water stress accounting for 87% of total variation. The most frequent environments for minimum and maximum temperature were associated with low actual yield (1.5–1.8 t/ha) whereas the most frequent water-stress environment was associated with the second lowest actual yield (1.75 t/ha). For all temperature and water-stress types, we found significant spatial variation that is relevant to the allocation of effort in breeding programs.
Additional keywords: environment, heat stress, modelling.
References
Abbo S, Berger J, Turner NC (2003) Evolution of cultivated chickpea: four bottlenecks limit diversity and constrain adaptation. Functional Plant Biology 30, 1081–1087.| Evolution of cultivated chickpea: four bottlenecks limit diversity and constrain adaptation.Crossref | GoogleScholarGoogle Scholar |
Abbo S, Zezak I, Schwartz E, Lev-Yadun S, Kerem Z, Gopher A (2008) Wild lentil and chickpea harvest in Israel: bearing on the origins of Near Eastern farming. Journal of Archaeological Science 35, 3172–3177.
| Wild lentil and chickpea harvest in Israel: bearing on the origins of Near Eastern farming.Crossref | GoogleScholarGoogle Scholar |
Armstrong EL, Heenan DP, Pate JS, Unkovich MJ (1997) Nitrogen benefits of lupins, field pea, and chickpea to wheat production in south-eastern Australia. Australian Journal of Agricultural Research 48, 39–48.
| Nitrogen benefits of lupins, field pea, and chickpea to wheat production in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Awasthi R, Kaushal N, Vadez V, Turner NC, Berger J, Siddique KHM, Nayyar H (2014) Individual and combined effects of transient drought and heat stress on carbon assimilation and seed filling in chickpea. Functional Plant Biology 41, 1148–1167.
| Individual and combined effects of transient drought and heat stress on carbon assimilation and seed filling in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhs1ymt7vP&md5=de46390193fe2dc9cd2b464d7190a6d9CAS |
Battisti DS, Naylor RL (2009) Historical warnings of future food insecurity with unprecedented seasonal heat. Science 323, 240–244.
| Historical warnings of future food insecurity with unprecedented seasonal heat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhvFelsg%3D%3D&md5=5fad46ae4d407620ecfffcb4928e0da4CAS | 19131626PubMed |
Benjamin JG, Nielsen DC (2006) Water deficit effects on root distribution of soybean, field pea and chickpea. Field Crops Research 97, 248–253.
| Water deficit effects on root distribution of soybean, field pea and chickpea.Crossref | GoogleScholarGoogle Scholar |
Berger JD, Turner NC, Siddique KHM, Knights EJ, Brinsmead RB, Mock I, Edmondson C, Khan TN (2004) Genotype by environment studies across Australia reveal the importance of phenology for chickpea (Cicer arietinum L.) improvement. Australian Journal of Agricultural Research 55, 1071–1084.
| Genotype by environment studies across Australia reveal the importance of phenology for chickpea (Cicer arietinum L.) improvement.Crossref | GoogleScholarGoogle Scholar |
Berger JD, Ali M, Basu PS, Chaudhary BD, Chaturvedi SK, Deshmukh PS, Dharmaraj PS, Dwivedi SK, Gangadhar GC, Gaur PM, Kumar J, Pannu RK, Siddique KHM, Singh DN, Singh DP, Singh SJ, Turner NC, Yadava HS, Yadav SS (2006) Genotype by environment studies demonstrate the critical role of phenology in adaptation of chickpea (Cicer arietinum L.) to high and low yielding environments of India. Field Crops Research 98, 230–244.
| Genotype by environment studies demonstrate the critical role of phenology in adaptation of chickpea (Cicer arietinum L.) to high and low yielding environments of India.Crossref | GoogleScholarGoogle Scholar |
Bonada M, Sadras VO (2015) Review: critical appraisal of methods to investigate the effect of temperature on grapevine berry composition. Australian Journal of Grape and Wine Research 21, 1–17.
| Review: critical appraisal of methods to investigate the effect of temperature on grapevine berry composition.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXhvV2hs7Y%3D&md5=3c84ef8a3273e6c80bfa99efdd925e61CAS |
Carberry PS (1996) Assessing the opportunity for increased production of grain legumes in the farming system. Final Report to the Grains Research and Development Corporation Project CSC9.pp33: 33.
Chapman SC (2008) Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials. Euphytica 161, 195–208.
| Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials.Crossref | GoogleScholarGoogle Scholar |
Chapman SC, Cooper M, Hammer GL, Butler DG (2000a) Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields. Australian Journal of Agricultural Research 51, 209–221.
| Genotype by environment interactions affecting grain sorghum. II. Frequencies of different seasonal patterns of drought stress are related to location effects on hybrid yields.Crossref | GoogleScholarGoogle Scholar |
Chapman SC, Hammer GL, Butler DG, Cooper M (2000b) Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments. Australian Journal of Agricultural Research 51, 223–234.
| Genotype by environment interactions affecting grain sorghum. III. Temporal sequences and spatial patterns in the target population of environments.Crossref | GoogleScholarGoogle Scholar |
Chauhan Y, Wright G, Rachaputi N, McCosker K (2008) Identifying chickpea homoclimes using the APSIM chickpea model. Australian Journal of Agricultural Research 59, 260–269.
| Identifying chickpea homoclimes using the APSIM chickpea model.Crossref | GoogleScholarGoogle Scholar |
Chauhan YS, Solomon KF, Rodriguez D (2013) Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production. Field Crops Research 144, 245–255.
| Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production.Crossref | GoogleScholarGoogle Scholar |
Chenu K (2015) Characterizing the crop environment – nature, significance and applications. In ‘Crop physiology’. (Eds VO Sadras, D Calderini) pp. 321–348. (Academic Press: San Diego, CA, USA)
Chenu K, Cooper M, Hammer GL, Mathews KL, Dreccer MF, Chapman SC (2011) Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia. Journal of Experimental Botany 62, 1743–1755.
| Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXjsFyis7w%3D&md5=6eb7d1055e1997908779096a136b429eCAS | 21421705PubMed |
Chenu K, Deihimfard R, Chapman SC (2013) Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends. New Phytologist 198, 801–820.
| Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends.Crossref | GoogleScholarGoogle Scholar | 23425331PubMed |
Cooper M, Chapman SC, Podlich DW, Hammer GL (2002) The GP problem: quantifying gene-to-phenotype relationships. In Silico Biology 2, 151–164.
Devasirvatham V, Tan DKY, Gaur PM, Raju TN, Trethowan RM (2012) High temperature tolerance in chickpea and its implications for plant improvement. Crop & Pasture Science 63, 419–428.
| High temperature tolerance in chickpea and its implications for plant improvement.Crossref | GoogleScholarGoogle Scholar |
Devasirvatham V, Gaur PM, Raju TN, Trethowan RM, Tan DKY (2015) Field response of chickpea (Cicer arietinum L.) to high temperature. Field Crops Research 172, 59–71.
| Field response of chickpea (Cicer arietinum L.) to high temperature.Crossref | GoogleScholarGoogle Scholar |
Dogan E, Kahraman A, Bucak B, Kirnak H, Guldur ME (2013) Varying irrigation rates effect on yield and yield components of chickpea. Irrigation Science 31, 903–909.
| Varying irrigation rates effect on yield and yield components of chickpea.Crossref | GoogleScholarGoogle Scholar |
Gan Y, Campbell CA, Janzen HH, Lemke RL, Basnyat P, McDonald CL (2010) Nitrogen accumulation in plant tissues and roots and N mineralization under oilseeds, pulses, and spring wheat. Plant and Soil 332, 451–461.
| Nitrogen accumulation in plant tissues and roots and N mineralization under oilseeds, pulses, and spring wheat.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXntlGhu7w%3D&md5=0117d01f784c191ff51bcade7f69440fCAS |
Harrison MT, Tardieu F, Dong Z, Messina CD, Hammer GL (2014) Characterizing drought stress and trait influence on maize yield under current and future conditions. Global Change Biology 20, 867–878.
| Characterizing drought stress and trait influence on maize yield under current and future conditions.Crossref | GoogleScholarGoogle Scholar | 24038882PubMed |
Heinemann A, Dingkuhn M, Luquet D, Combres J, Chapman S (2008) Characterization of drought stress environments for upland rice and maize in central Brazil. Euphytica 162, 395–410.
| Characterization of drought stress environments for upland rice and maize in central Brazil.Crossref | GoogleScholarGoogle Scholar |
Holzworth DP, Huth NI, deVoil PG, Zurcher EJ, Herrmann NI, McLean G, Chenu K, van Oosterom EJ, Snow V, Murphy C, Moore AD, Brown H, Whish JPM, Verrall S, Fainges J, Bell LW, Peake AS, Poulton PL, Hochman Z, Thorburn PJ, Gaydon DS, Dalgliesh NP, Rodriguez D, Cox H, Chapman S, Doherty A, Teixeira E, Sharp J, Cichota R, Vogeler I, Li FY, Wang E, Hammer GL, Robertson MJ, Dimes JP, Whitbread AM, Hunt J, van Rees H, McClelland T, Carberry PS, Hargreaves JNG, MacLeod N, McDonald C, Harsdorf J, Wedgwood S, Keating BA (2014) APSIM – evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software 62, 327–350.
| APSIM – evolution towards a new generation of agricultural systems simulation.Crossref | GoogleScholarGoogle Scholar |
IPCC (2012) ‘Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of the Intergovernmental Panel on Climate Change.’ (Eds CB Field, V Barros, TF Stocker, Q Dahe, DJ Dokken, KL Ebi, MD Mastrandrea, KJ Mach, GK Plattner, SK Allen, M Tignor, PM Midgley) (Cambridge University Press: Cambridge, UK; New York, USA)
Jumrani K, Bhatia VS (2014) Impact of elevated temperatures on growth and yield of chickpea (Cicer arietinum L.). Field Crops Research 164, 90–97.
| Impact of elevated temperatures on growth and yield of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Kashiwagi J, Krishnamurthy L, Crouch JH, Serraj R (2006) Variability of root length density and its contributions to seed yield in chickpea (Cicer arietinum L.) under terminal drought stress. Field Crops Research 95, 171–181.
| Variability of root length density and its contributions to seed yield in chickpea (Cicer arietinum L.) under terminal drought stress.Crossref | GoogleScholarGoogle Scholar |
Kerem Z, Lev-Yadun S, Gopher A, Weinberg P, Abbo S (2007) Chickpea domestication in the Neolithic Levant through the nutritional perspective. Journal of Archaeological Science 34, 1289–1293.
| Chickpea domestication in the Neolithic Levant through the nutritional perspective.Crossref | GoogleScholarGoogle Scholar |
Kholová J, McLean G, Vadez V, Craufurd P, Hammer GL (2013) Drought stress characterization of post-rainy season (rabi) sorghum in India. Field Crops Research 141, 38–46.
| Drought stress characterization of post-rainy season (rabi) sorghum in India.Crossref | GoogleScholarGoogle Scholar |
Krishnamurthy L, Kashiwagi J, Upadhyaya HD, Gowda CLL, Gaur PM, Singh S, Purushothaman R, Varshney RK (2013) Partitioning coefficient – a trait that contributes to drought tolerance in chickpea. Field Crops Research 149, 354–365.
| Partitioning coefficient – a trait that contributes to drought tolerance in chickpea.Crossref | GoogleScholarGoogle Scholar |
Lobell DB, Hammer GL, McLean G, Messina C, Roberts MJ, Schlenker W (2013) The critical role of extreme heat for maize production in the United States. Nature Climate Change 3, 497–501.
| The critical role of extreme heat for maize production in the United States.Crossref | GoogleScholarGoogle Scholar |
Löffler CM, Bergman M, Cooper M, Fast T, Gogerty J, Langton S, Merrill B, Wei J (2005) Classification of maize environments using crop simulation and geographic information systems. Crop Science 45, 1708–1716.
| Classification of maize environments using crop simulation and geographic information systems.Crossref | GoogleScholarGoogle Scholar |
Messina CD, Podlich D, Dong Z, Samples M, Cooper M (2011) Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance. Journal of Experimental Botany 62, 855–868.
| Yield–trait performance landscapes: from theory to application in breeding maize for drought tolerance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtVekurs%3D&md5=d21d85bfc88128bd2fe4924ab1d9800cCAS | 21041371PubMed |
Miller PR, Gan Y, McConkey BG, McDonald CL (2003) Pulse crops for the Northern Great Plains Journal Ser. no. 2002–30, Montana Agric. Exp. Stn., Montana State Univ., Bozeman. Agronomy Journal 95, 972–979.
| Pulse crops for the Northern Great Plains Journal Ser. no. 2002–30, Montana Agric. Exp. Stn., Montana State Univ., Bozeman.Crossref | GoogleScholarGoogle Scholar |
Neugschwandtner R, Wichmann S, Gimplinger D, Wagentristl H, Kaul H, Groß-Enzersdorf EF (2013) Chickpea performance compared to pea, barley and oat in Central Europe: growth analysis and yield. Turkish Journal of Field Crops 18, 179–184.
Neugschwandtner RW, Wagentristl H, Kaul HP (2014) Nitrogen concentrations and nitrogen yields of above ground dry matter of chickpea during crop growth compared to pea, barley and oat in central Europe. Turkish Journal of Field Crops 19, 136–141.
| Nitrogen concentrations and nitrogen yields of above ground dry matter of chickpea during crop growth compared to pea, barley and oat in central Europe.Crossref | GoogleScholarGoogle Scholar |
R Core Team (2014) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria)
Rennie RJ, Dubetz S (1986) Nitrogen-15-determined nitrogen fixation in field-grown chickpea, lentil, faba bean, and field pea. Agronomy Journal 78, 654–660.
| Nitrogen-15-determined nitrogen fixation in field-grown chickpea, lentil, faba bean, and field pea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL28XltFCiu7s%3D&md5=5bcc4b355697b52cb761f59ca9911efbCAS |
Robertson MJ, Carberry PS, Huth NI, Turpin JE, Probert ME, Poulton PL, Bell M, Wright GC, Yeates SJ, Brinsmead RB (2002) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429–446.
| Simulation of growth and development of diverse legume species in APSIM.Crossref | GoogleScholarGoogle Scholar |
Rodriguez D, Sadras VO (2007) The limit to wheat water-use efficiency in eastern Australia. I. Gradients in the radiation environment and atmospheric demand. Australian Journal of Agricultural Research 58, 287–302.
| The limit to wheat water-use efficiency in eastern Australia. I. Gradients in the radiation environment and atmospheric demand.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Dreccer MF (2015) Adaptation of wheat, barley, canola, pea and chickpea to the thermal environments of Australia. Crop & Pasture Science 66, 1137–1150.
| Adaptation of wheat, barley, canola, pea and chickpea to the thermal environments of Australia.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Slafer GA (2012) Environmental modulation of yield components in cereals: Heritabilities reveal a hierarchy of phenotypic plasticities. Field Crops Research 127, 215–224.
| Environmental modulation of yield components in cereals: Heritabilities reveal a hierarchy of phenotypic plasticities.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Lake L, Chenu K, McMurray LS, Leonforte A (2012) Water and thermal regimes for field pea in Australia and their implications for breeding. Crop & Pasture Science 63, 33–44.
| Water and thermal regimes for field pea in Australia and their implications for breeding.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Vadez V, Purushothaman R, Lake L, Marrou H (2015) Unscrambling confounded effects of sowing date trials to screen for crop adaptation to high temperature. Field Crops Research 177, 1–8.
| Unscrambling confounded effects of sowing date trials to screen for crop adaptation to high temperature.Crossref | GoogleScholarGoogle Scholar |
Siddique KHM, Regan KL, Tennant D, Thomson BD (2001) Water use and water use efficiency of cool season grain legumes in low rainfall Mediterranean-type environments. European Journal of Agronomy 15, 267–280.
| Water use and water use efficiency of cool season grain legumes in low rainfall Mediterranean-type environments.Crossref | GoogleScholarGoogle Scholar |
Singh KB (1997) Chickpea (Cicer arietinum L.). Field Crops Research 53, 161–170.
| Chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Singh KB (1999) ‘Chickpeas.’ (Ed. MC Saxena) (Macmillan Education Ltd: London, UK)
Singh P, Virmani SM (1996) Modeling growth and yield of chickpea (Cicer arietinum L.). Field Crops Research 46, 41–59.
| Modeling growth and yield of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Srinivasan A, Saxena NP, Johansen C (1999) Cold tolerance during early reproductive growth of chickpea (Cicer arietinum L.): genetic variation in gamete development and function. Field Crops Research 60, 209–222.
| Cold tolerance during early reproductive growth of chickpea (Cicer arietinum L.): genetic variation in gamete development and function.Crossref | GoogleScholarGoogle Scholar |
Summerfield RJ, Hadley P, Roberts EH, Minchin FR, Rawsthorne S (1984) Sensitivity of chickpeas (Cicer arietinum) to hot temperatures during the reproductive period. Experimental Agriculture 20, 77–93.
| Sensitivity of chickpeas (Cicer arietinum) to hot temperatures during the reproductive period.Crossref | GoogleScholarGoogle Scholar |
Thudi M, Gaur PM, Krishnamurthy L, Mir RR, Kudapa H, Fikre A, Kimurto P, Tripathi S, Soren KR, Mulwa R, Bharadwaj C, Datta S, Chaturvedi SK, Varshney RK (2014) Genomics-assisted breeding for drought tolerance in chickpea. Functional Plant Biology 41, 1178–1190.
| Genomics-assisted breeding for drought tolerance in chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhs1ymt7vL&md5=bdece669b59456430a31a01d4ba2a513CAS |
Turner NC, Wright GC, Siddique KHM (2001) Adaptation of grain legumes (pulses) to water-limited environments. Advances in Agronomy 71, 193–231.
Turner NC, Blum A, Cakir M, Steduto P, Tuberosa R, Young N (2014) Strategies to increase the yield and yield stability of crops under drought – are we making progress? Functional Plant Biology 41, 1199–1206.
| Strategies to increase the yield and yield stability of crops under drought – are we making progress?Crossref | GoogleScholarGoogle Scholar |
Upadhyaya HD, Dronavalli N, Gowda CLL, Singh S (2011) Identification and evaluation of chickpea germplasm for tolerance to heat stress. Crop Science 51, 2079–2094.
| Identification and evaluation of chickpea germplasm for tolerance to heat stress.Crossref | GoogleScholarGoogle Scholar |
Vadez V, Berger JD, Warkentin T, Asseng S, Pasala R, Rao KPC, Gaur PM, Munier-Jolain N, Larmure A, Voisin AS, Sharma HC, Suresh P, Mamta S, Lakshman K, Zaman MA (2012) Adaptation of grain legumes to climate change: a review. Agronomy for Sustainable Development 32, 31–44.
| Adaptation of grain legumes to climate change: a review.Crossref | GoogleScholarGoogle Scholar |
Wahid A, Gelani S, Ashraf M, Foolad MR (2007) Heat tolerance in plants: an overview. Environmental and Experimental Botany 61, 199–223.
| Heat tolerance in plants: an overview.Crossref | GoogleScholarGoogle Scholar |
Withana-Gamage TS, Wanasundara JPD, Pietrasik Z, Shand PJ (2011) Physicochemical, thermal and functional characterisation of protein isolates from Kabuli and Desi chickpea (Cicer arietinum L.): a comparative study with soy (Glycine max) and pea (Pisum sativum L.). Journal of the Science of Food and Agriculture 91, 1022–1031.
| Physicochemical, thermal and functional characterisation of protein isolates from Kabuli and Desi chickpea (Cicer arietinum L.): a comparative study with soy (Glycine max) and pea (Pisum sativum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXjt1Gnt78%3D&md5=a06cd036c1ec9c013ce9738562ade436CAS | 21328351PubMed |
Zaman-Allah M, Jenkinson DM, Vadez V (2011) A conservative pattern of water use, rather than deep or profuse rooting, is critical for the terminal drought tolerance of chickpea. Journal of Experimental Botany 62, 4239–4252.
| A conservative pattern of water use, rather than deep or profuse rooting, is critical for the terminal drought tolerance of chickpea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXhtVeit7jJ&md5=8a3c04c8db0f9ebef237247c8dea7891CAS | 21610017PubMed |
Zhang H, Pala M, Oweis T, Harris H (2000) Water use and water-use efficiency of chickpea and lentil in a Mediterranean environment. Australian Journal of Agricultural Research 51, 295–304.
| Water use and water-use efficiency of chickpea and lentil in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |
