Associations between yield, intercepted radiation and radiation-use efficiency in chickpea
Lachlan Lake A B and Victor Sadras A
+ Author Affiliations
- Author Affiliations
A South Australian Research and Development Institute, SA, Australia.
B Corresponding author. Email: Lachlan.Lake@sa.gov.au
Crop and Pasture Science 68(2) 140-147 https://doi.org/10.1071/CP16356
Submitted: 26 September 2016 Accepted: 11 February 2017 Published: 7 March 2017
Abstract
Relationships between yield, biomass, radiation interception (PARint) and radiation-use efficiency (RUE) have been studied in many crops for use in growth analysis and modelling. Research in chickpea (Cicer arietinum L.) is limited, with variation caused by environment and phenological stage not adequately described. This study aims to characterise the variation in chickpea PARint and RUE with phenological stage, line and environment and their interactions, and the impact of this variation on yield. Chickpea lines (six desi and one kabuli) previously identified as varying for yield, competitive ability, crop growth rate and phenology were compared in four environments resulting from a combination of two sowing dates and dry and irrigated water regimes. Yield varied from 0.7 to 3.7 t ha–1. Line, environment, phenological stage and the interactions line (G) × environment (E) and environment × stage affected both RUE and PARint. Line × stage interaction also affected RUE. High PARint and RUE were associated with high yield, but the interaction between environment and phenological stage dictated this relationship; higher PARint and RUE were observed in irrigated environments. Some environment × phenological stage combinations resulted in no significant associations, particularly before flowering in dry environments. These results emphasise the importance of understanding the effects of G × E on capture and efficiency in the use of radiation and have implications for growth analysis, modelling and breeding.
Additional keywords: abiotic stress, breeding chickpea, radiation, yield.
References
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 |
Adeboye OB, Schultz B, Adekalu KO, Prasad K (2016) Impact of water stress on radiation interception and radiation use efficiency of soybeans (Glycine max L. Merr.) in Nigeria. Brazilian Journal of Science and Technology 3, 15
| Impact of water stress on radiation interception and radiation use efficiency of soybeans (Glycine max L. Merr.) in Nigeria.Crossref | GoogleScholarGoogle Scholar |
Albrizio R, Steduto P (2005) Resource use efficiency of field-grown sunflower, sorghum, wheat and chickpea: I. Radiation use efficiency. Agricultural and Forest Meteorology 130, 254–268.
| Resource use efficiency of field-grown sunflower, sorghum, wheat and chickpea: I. Radiation use efficiency.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 |
Bange MP, Hammer GL, Rickert KG (1997) Effect of radiation environment on radiation use efficiency and growth of sunflower. Crop Science 37, 1208–1214.
| Effect of radiation environment on radiation use efficiency and growth of sunflower.Crossref | GoogleScholarGoogle Scholar |
Baret F, Guyot G (1991) Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment 35, 161–173.
| Potentials and limits of vegetation indices for LAI and APAR assessment.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, Buck R, Henzell JM, Turner NC (2005) Evolution in the genus Cicer–vernalisation response and low temperature pod set in chickpea (C. arietinum L.) and its annual wild relatives. Australian Journal of Agricultural Research 56, 1191–1200.
| Evolution in the genus Cicer–vernalisation response and low temperature pod set in chickpea (C. arietinum L.) and its annual wild relatives.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 |
Chenu K (2015) Characterizing the crop environment—nature, significance and applications. In ‘Crop physiology’. 2nd edn. Ch. 13. (Eds VO Sadras, D Calderini) pp. 321–348. (Academic Press: San Diego, CA, USA)
Clements JC, Dracup M, Buirchell BJ, Smith CG (2005) Variation for seed coat and pod wall percentage and other traits in a germplasm collection and historical cultivars of lupins. Australian Journal of Agricultural Research 56, 75–83.
| Variation for seed coat and pod wall percentage and other traits in a germplasm collection and historical cultivars of lupins.Crossref | GoogleScholarGoogle Scholar |
De Vries FWTP, Brunsting AHM, Van Laar HH (1974) Products, requirements and efficiency of biosynthesis a quantitative approach. Journal of Theoretical Biology 45, 339–377.
| Products, requirements and efficiency of biosynthesis a quantitative approach.Crossref | GoogleScholarGoogle Scholar |
Earl HJ, Davis RF (2003) Effect of drought stress on leaf and whole canopy radiation use efficiency and yield of maize. Agronomy Journal 95, 688–696.
| Effect of drought stress on leaf and whole canopy radiation use efficiency and yield of maize.Crossref | GoogleScholarGoogle Scholar |
Foyer C, Lam H, Nguyen H, Siddique K, Varshney R, Colmer T, Cowling W, Bramley H, Mori T, Hodgson J (2016) Neglecting legumes has compromised human health and sustainable food production. Nature Plants
| Neglecting legumes has compromised human health and sustainable food production.Crossref | GoogleScholarGoogle Scholar |
Giunta F, Pruneddu G, Motzo R (2009) Radiation interception and biomass and nitrogen accumulation in different cereal and grain legume species. Field Crops Research 110, 76–84.
| Radiation interception and biomass and nitrogen accumulation in different cereal and grain legume species.Crossref | GoogleScholarGoogle Scholar |
Green CF, Hebblethwaite PD, Ison DA (1985) A quantitative analysis of varietal and moisture status effects on the growth of Vicia faba in relation to radiation absorption. Annals of Applied Biology 106, 143–155.
| A quantitative analysis of varietal and moisture status effects on the growth of Vicia faba in relation to radiation absorption.Crossref | GoogleScholarGoogle Scholar |
Hao B, Xue Q, Marek TH, Jessup KE, Hou X, Xu W, Bynum ED, Bean BW (2016) Radiation-use efficiency, biomass production, and grain yield in two maize hybrids differing in drought tolerance. Journal of Agronomy & Crop Science 202, 269–280.
| Radiation-use efficiency, biomass production, and grain yield in two maize hybrids differing in drought tolerance.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XhtFSisrvI&md5=c51486d6dd49b736583f5b046d615889CAS |
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 |
Jahansooz MR, Yunusa IAM, Coventry DR, Palmer AR, Eamus D (2007) Radiation- and water-use associated with growth and yields of wheat and chickpea in sole and mixed crops. European Journal of Agronomy 26, 275–282.
| Radiation- and water-use associated with growth and yields of wheat and chickpea in sole and mixed crops.Crossref | GoogleScholarGoogle Scholar |
Kang S, McKenzie B, Hill G (2008) Effect of irrigation on growth and yield of Kabuli chickpea (Cicer arietinum L.) and narrow-leafed lupin (Lupinus angustifolius L.). Agronomy New Zealand 38, 11–32.
Kashiwagi J, Krishnamurthy L, Purushothaman R, Upadhyaya HD, Gaur PM, Gowda CLL, Ito O, Varshney RK (2015) Scope for improvement of yield under drought through the root traits in chickpea (Cicer arietinum L.). Field Crops Research 170, 47–54.
| Scope for improvement of yield under drought through the root traits in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
| An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |
Lagunes-Espinoza LC, Huyghe C, Papineau J, Pacault D (1999) Effect of genotype and environment on pod wall proportion in white lupin: consequences to seed yield. Australian Journal of Agricultural Research 50, 575–582.
| Effect of genotype and environment on pod wall proportion in white lupin: consequences to seed yield.Crossref | GoogleScholarGoogle Scholar |
Lake L, Sadras VO (2014) The critical period for yield determination in chickpea (Cicer arietinum L.). Field Crops Research 168, 1–7.
| The critical period for yield determination in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Lake L, Sadras VO (2016) Screening chickpea for adaptation to water stress: Associations between yield and crop growth rate. European Journal of Agronomy 81, 86–91.
| Screening chickpea for adaptation to water stress: Associations between yield and crop growth rate.Crossref | GoogleScholarGoogle Scholar |
Lake L, Chenu K, Sadras VO (2016a) Patterns of water stress and temperature for Australian chickpea production. Crop & Pasture Science 67, 204–215.
Lake L, Li Y, Casal JJ, Sadras VO (2016b) Negative association between chickpea response to competition and crop yield: phenotypic and genetic analysis. Field Crops Research 196, 409–417.
| Negative association between chickpea response to competition and crop yield: phenotypic and genetic analysis.Crossref | GoogleScholarGoogle Scholar |
Leach G, Beech D (1988) Response of chickpea accessions to row spacing and plant density on a vertisol on the Darling Downs, south-eastern Queensland. 2. Radiation interception and water use. Australian Journal of Experimental Agriculture 28, 377–383.
| Response of chickpea accessions to row spacing and plant density on a vertisol on the Darling Downs, south-eastern Queensland. 2. Radiation interception and water use.Crossref | GoogleScholarGoogle Scholar |
Lecoeur J, Ney B (2003) Change with time in potential radiation-use efficiency in field pea. European Journal of Agronomy 19, 91–105.
| Change with time in potential radiation-use efficiency in field pea.Crossref | GoogleScholarGoogle Scholar |
Li L, Bueckert RA, Gan Y, Warkentin T (2008) Light interception and radiation use efficiency of fern- and unifoliate-leaf chickpea cultivars. Canadian Journal of Plant Science 88, 1025–1034.
| Light interception and radiation use efficiency of fern- and unifoliate-leaf chickpea cultivars.Crossref | GoogleScholarGoogle Scholar |
Li L, Gan YT, Bueckert R, Warkentin TD (2010) Shading, defoliation and light enrichment effects on chickpea in northern latitudes. Journal of Agronomy & Crop Science 196, 220–230.
| Shading, defoliation and light enrichment effects on chickpea in northern latitudes.Crossref | GoogleScholarGoogle Scholar |
Ludbrook J (2012) A primer for biomedical scientists on how to execute Model II linear regression analysis. Clinical and Experimental Pharmacology & Physiology 39, 329–335.
| A primer for biomedical scientists on how to execute Model II linear regression analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XlslagtLw%3D&md5=dad1cd5cd38ace61442d879074bd831fCAS |
Matthews R, Harris D, Williams J, Rao RN (1988) The physiological basis for yield differences between four genotypes of groundnut (Arachis hypogaea) in response to drought. II. Solar radiation interception and leaf movement. Experimental Agriculture 24, 203–213.
| The physiological basis for yield differences between four genotypes of groundnut (Arachis hypogaea) in response to drought. II. Solar radiation interception and leaf movement.Crossref | GoogleScholarGoogle Scholar |
Muchow RC (1985) 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. Field Crops Research 11, 309–323.
| 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.Crossref | GoogleScholarGoogle Scholar |
Mwanamwenge J, Siddique KHM, Sedgley RH (1997) Canopy development and light absorption of grain legume species in a short season Mediterranean-type environment. Journal of Agronomy & Crop Science 179, 1–7.
| Canopy development and light absorption of grain legume species in a short season Mediterranean-type environment.Crossref | GoogleScholarGoogle Scholar |
Pinhasi van‐Oss R, Sherman A, Zhang HB, Vandemark G, Coyne C, Abbo S (2016) Vernalization response of domesticated× wild chickpea progeny is subject to strong genotype by environment interaction. Plant Breeding 135, 102–110.
| Vernalization response of domesticated× wild chickpea progeny is subject to strong genotype by environment interaction.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28Xhs1Kjsrw%3D&md5=29b08eea1faee379457f0bdaa7988b5bCAS |
Purcell LC, Ball RA, Reaper JD, Vories ED (2002) Radiation use efficiency and biomass production in soybean at different plant population densities. Crop Science 42, 172–177.
| Radiation use efficiency and biomass production in soybean at different plant population densities.Crossref | GoogleScholarGoogle Scholar |
Ridao E, Oliveira CF, Conde JR, Minguez MI (1996) Radiation interception and use, and spectral reflectance of contrasting canopies of autumn sown faba beans and semi-leafless peas. Agricultural and Forest Meteorology 79, 183–203.
| Radiation interception and use, and spectral reflectance of contrasting canopies of autumn sown faba beans and semi-leafless peas.Crossref | GoogleScholarGoogle Scholar |
Sadras V, Dreccer MF (2015) Adaptation of wheat, barley, canola, field pea and chickpea to the thermal environments of Australia. Crop & Pasture Science 66, 1137–1150.
| Adaptation of wheat, barley, canola, field pea and chickpea to the thermal environments of Australia.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Lake L, Leonforte A, McMurray LS, Paull JG (2013) Screening field pea for adaptation to water and heat stress: Associations between yield, crop growth rate and seed abortion. Field Crops Research 150, 63–73.
| Screening field pea for adaptation to water and heat stress: Associations between yield, crop growth rate and seed abortion.Crossref | GoogleScholarGoogle Scholar |
Sadras VO, Lake L, Li Y, Drew E, Sutton T (2016) Phenotypic plasticity and its genetic regulation for yield, nitrogen fixation and δ 13C in chickpea crops under varying water regimes. Journal of Experimental Botany 67, 4339–4351.
| Phenotypic plasticity and its genetic regulation for yield, nitrogen fixation and δ 13C in chickpea crops under varying water regimes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28Xhs1OntLjM&md5=2929c0f1db2d2037816b6e209ac2dd11CAS |
Saha S, Sehgal VK, Chakraborty D, Pal M (2015) Atmospheric carbon dioxide enrichment induced modifications in canopy radiation utilization, growth and yield of chickpea (Cicer arietinum L.). Agricultural and Forest Meteorology 202, 102–111.
| Atmospheric carbon dioxide enrichment induced modifications in canopy radiation utilization, growth and yield of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Sinclair TR, Muchow RC (1999) Radiation use efficiency. In ‘Advances in agronomy’. Vol. 65. (Ed. LS Donald) pp. 215–265. (Academic Press: San Diego, CA, USA)
Singh P, Rama YV (1989) Influence of water deficit on transpiration and radiation use efficiency of chickpea (Cicer arietinum L.). Agricultural and Forest Meteorology 48,
Singh P, Sri Rama YV (1989) Influence of water deficit on transpiration and radiation use efficiency of chickpea (Cicer arietinum L.). Agricultural and Forest Meteorology 48, 317–330.
| Influence of water deficit on transpiration and radiation use efficiency of chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Soltani A, Sinclair TR (2012) Identifying plant traits to increase chickpea yield in water-limited environments. Field Crops Research 133, 186–196.
| Identifying plant traits to increase chickpea yield in water-limited environments.Crossref | GoogleScholarGoogle Scholar |
Soltani A, Robertson MJ, Rahemi-Karizaki A, Poorreza J, Zarei H (2006) Modelling biomass accumulation and partitioning in chickpea (Cicer arietinum L.). Journal of Agronomy & Crop Science 192, 379–389.
| Modelling biomass accumulation and partitioning in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar |
Soltani A, Gholipoor M, Ghassemi-Golezani K (2007) Analysis of temperature and atmospheric CO2 effects on radiation use efficiency in chickpea (Cicer arietinum L.). Journal of Plant Sciences 2, 89–95.
| Analysis of temperature and atmospheric CO2 effects on radiation use efficiency in chickpea (Cicer arietinum L.).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhtFalt7vL&md5=cc81fd538c3ccc5210b8e9c825b32cf8CAS |
Stöckle CO, Kemanian AR (2009) Crop radiation capture and use efficiency: A framework for crop growth analysis. In ‘Crop physiology’. Ch. 7. (Eds V Sadras, D Calderini) pp. 145–170. (Academic Press: San Diego, CA, USA)
Tesfaye K, Walker S, Tsubo M (2006) Radiation interception and radiation use efficiency of three grain legumes under water deficit conditions in a semi-arid environment. European Journal of Agronomy 25, 60–70.
| Radiation interception and radiation use efficiency of three grain legumes under water deficit conditions in a semi-arid environment.Crossref | GoogleScholarGoogle Scholar |
Wani SP, Rupela OP, Lee KK (1995) Sustainable agriculture in the semi-arid tropics through biological nitrogen fixation in grain legumes. Plant and Soil 174, 29–49.
| Sustainable agriculture in the semi-arid tropics through biological nitrogen fixation in grain legumes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK2MXotFals7s%3D&md5=fa35f28c7cd12192c8fc71127c18f0dbCAS |
