Modeling chickpea growth and development: Phenological development

Soltani, Afshin; Hammer, Graeme; Torabi, Benjamin; Robertson, M. J.; Zeinali, E

doi:10.1016/j.fcr.2006.02.004

Cited by 77 publications

(44 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is consistent with other studies on node addition in indeterminate common bean plants under different temperature and photoperiods (Wallace et al 1991;Yourstone and Wallace 1990a, b), and is also supported by studies where temperature was used as the main or only factor affecting node/leaf addition for modeling purposes (Jones et al 1999;Sinclair 1984;Soltani et al 2006;Soltani and Sinclair 2012). For beans, an increase in temperature from 17 to 23 and to 29 °C caused increased node addition rate under 12 h of day length (Yourstone and Wallace 1990b).…”

Section: Discussionsupporting

confidence: 80%

Development of a QTL-environment-based predictive model for node addition rate in common bean

et al. 2017

View full text Add to dashboard Cite

Development of a QTL-environment-based predictive model for node addition rate in common beanThe International Center for Tropical Agriculture (CIAT) believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture.CIAT is committed to creating and sharing knowledge and information openly and globally. We do this through collaborative research as well as through the open sharing of our data, tools, and publications. Citation:Zhang, Li; Gezan, Salvador A.; Vallejos, C. Eduardo; Jones, James W.; Boote, Kenneth J.; ClavijoMichelangeli, Jose A.; Bhakta, Mehul; Osorno, Juan M.; Rao, Idupulapati; Beebe, Stephen; Roman-Paoli, Elvin; Gonzalez, Abiezer; Beaver, James; Ricaurte, Jaumer; Colbert, Raphael; Correll, Melanie J.. 2017. Development of a QTL-environment-based predictive model for node addition rate in common bean. For more information, please contact CIAT Library at CIAT-Library@cgiar.org.Dear Author,Here are the proofs of your article.• You can submit your corrections online, via e-mail or by fax.• For online submission please insert your corrections in the online correction form. Always indicate the line number to which the correction refers.• You can also insert your corrections in the proof PDF and email the annotated PDF.• For fax submission, please ensure that your corrections are clearly legible. Use a fine black pen and write the correction in the margin, not too close to the edge of the page.• Remember to note the journal title, article number, and your name when sending your response via e-mail or fax.• Check the metadata sheet to make sure that the header information, especially author names and the corresponding affiliations are correctly shown.• Check the questions that may have arisen during copy editing and insert your answers/ corrections.• Check that the text is complete and that all figures, tables and their legends are included. Also check the accuracy of special characters, equations, and electronic supplementary material if applicable. If necessary refer to the Edited manuscript.• The publication of inaccurate data such as dosages and units can have serious consequences. Please take particular care that all such details are correct.• Please do not make changes that involve only matters of style. We have generally introduced forms that follow the journal's style. Substantial changes in content, e.g., new results, corrected values, title and authorship are not allowed without the approval of the responsible editor. In such a case, please contact the Editorial Office and return his/her consent together with the proof.• If we do not receive your corrections within 48 hours, we will send you a reminder.• Your article will be published Online First approximately one week after receipt of your corrected proofs. This is the official first publication citable with the DOI. Further changes are, therefore, not possible.• The printed version will follow in a forthcomin...

show abstract

Section: Discussionsupporting

confidence: 80%

Development of a QTL-environment-based predictive model for node addition rate in common bean

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Positive correlations between flowering time and growth traits showed that late flowering lines have welldeveloped vegetative organs. The same observation was noted in chickpea (Soltani et al, 2006) and populations of M. laciniata and M. truncatula (Badri et al, 2007). Indeed, it has been shown that the genotype of plants, temperature and photoperiod factors affect flowering time in chickpea (Berger et al, 2006;Soltani et al, 2006) and rice (Ouk et al, 2006).…”

Section: Discussionmentioning

confidence: 48%

Morph-physiological responses to water deficit in parental genotypes of Medicago truncatula recombinant inbred lines

Mahfoudh¹,

Abdelly²

2016

Afr. J. Biotechnol.

View full text Add to dashboard Cite

Medicago truncatula is an omni-Mediterranean species grown as an annual forage legume. In addition to its small genome size and simple genetics, M. truncatula harbors several attributes which make it an attractive model legume. In this study, we investigated morphological and photosynthetic responses to water deficit in parental genotypes of M. truncatula recombinant inbred lines. Ten parental lines were cultivated under three water regimes (100% of field capacity (FC), 50% FC and 30% FC) and were harvested at flowering time and at the end of their lifecycle. Results from ANOVA showed that variability of measured parameters was explained by the effects of line, treatment and their interaction with treatment factor recorded the highest values. Out of the 27 traits, 14 were influenced by the line x treatment interaction. High to moderate broad-sense heritability (H²) were observed for most of the traits under control treatment and drought stress. Most of the correlations between measured traits were positive under the three water regimes. The flowering time was positively correlated with aerial and root growth rate. The tolerance of lines to water deficit seems to depend, in particular, on their ability to maintain higher photosynthetic activity. In 30% FC, principal component analysis clustered lines into two groups. The Jemalong A17 line was the least affected for most phenotypic parameters. Hence, all populations of recombinant inbred lines derived from crosses between Jemalong A17 and the remaining lines were useful for the identification of the genetic determinants for tolerance to water deficit in M. truncatula.

show abstract

“…The time available for chickpea crops to produce adequate vegetative structures and then grain yield is often restricted by heat and drought stress, or competition for use of land by other crops in rotation. To attain acceptable yield, crop duration (phenology) must closely be synchronized with the suitable environmental factors (Soltani et al, 2006). However, the dynamics of chickpea phenology vary with cultivar, photoperiod, temperature, soil water and nutrient status.…”

Section: Discussionmentioning

confidence: 99%

The Impacts of Nano-Structured Nutrients on Chickpea Performance under Supplemental Irrigation

Janmohammadi

Sabaghnia

Seifi

et al. 2017

Acta Univ. Agric. Silvic. Mendelianae Brun.

View full text Add to dashboard Cite

Chickpea is a legume of the family Fabaceae and the most widely grown crop in the semi-arid Mediterranean regions. This pulse crop can grow on almost any soil and is well adapted to the semi-arid conditions, but for good growth it requires a fertile soil with good residual moisture. Therefore, nutrient-and water-management practices are necessary agronomic options to improve chickpea production. The objective of this study was to evaluate the effect of different conventional and nano-fertilizers on growth and yield of Kabuli chickpea under supplemental irrigation. The experiment was carried out at a research field in dry highland of Maragheh, North western Iran. Plants were grown under rainfed situation during the vegetative growth and supplement irrigations was applied during flowering and seed filling stages. The effect of nine nutrient treatments including T1: control (no fertilizer application), T2: nano-chelated iron, T3: nano-chelated manganese, T4: nano-chelated copper, T5: nano-chelated boron, T6: organic manganese, T7: conventional NPK fertilizer, T8: multi-nutrient nano-fertilizer and T9: nano-chelated zinc were evaluated. Result showed that application of multi-nutrient nano-fertilizer, conventional NPK fertilizer and nano-chelated Zn considerably improved the both vegetative growth (e.g. plant height, canopy width, number of the branches) and yield components. Also the highest chlorophyll concentration (P < 0.05) was recorded for plant grown by application of multi-nutrient / compound fertilizers. There was a significant positive correlation between chlorophyll concentration and seed yield components (P < 0.01). Among the applied micronutrients, plants significantly responded to nano-chelated Zn. Conventional NPK significantly improved the lateral growth (canopy width, ground cover, branches numbers).The results pointed out that the best performance of chickpea could be achievable through utilization of nano-of multi-nutrient fertilizer, with the simultaneous release of micronutrients and macronutrients. The findings provided illustrative information in order to appreciate the importance of balanced crop nutrition in semi-arid Mediterranean region.

show abstract

Modeling chickpea growth and development: Phenological development

Cited by 77 publications

References 29 publications

Development of a QTL-environment-based predictive model for node addition rate in common bean

Development of a QTL-environment-based predictive model for node addition rate in common bean

Morph-physiological responses to water deficit in parental genotypes of Medicago truncatula recombinant inbred lines

The Impacts of Nano-Structured Nutrients on Chickpea Performance under Supplemental Irrigation

Contact Info

Product

Resources

About