Optimizing sowing time and weather conditions for enhanced growth and seed yield of chia (<i>Salvia hispanica</i> L.) in semi-arid regions

The results revealed that weather conditions such as relative humidity (RH) and rainfall favoured the flowering phenology, yield attributes, and seed yield of chia, whereas maximum temperature (T<sub>max</sub>), bright sunshine hours, and accumulated growing degree days had negative effects. Weather parameters significantly influenced the chia seed yield during the cropping period: RH (positive, <i>R</i> <sup>2</sup> = 86.1%), T<sub>max</sub> (negative, <i>R</i> <sup>2</sup> = 67.4%), rainfall (positive, <i>R</i> <sup>2</sup> = 52.9%), and diurnal temperature range (negative, <i>R</i> <sup>2</sup> = 74.9%). Black-seeded chia morphotypes consistently produced higher seed yields (10.8% greater) and better yield-contributing traits compared to white types across various sowing dates. The maximum chia seed yield (811-793.1 kg ha<sup>-1</sup>) was achieved with sowing dates between August 1st and September 1st in this semi-arid region of India. The performance of chia was good under congenial weather conditions, including relative humidity (∼67-72%), maximum temperature (∼30-31 °C), day length (<12.0 h), rainfall (∼200-350 mm), and accumulated growing degree days (∼1,521-1,891). The present study findings can help identify the best suitable regions for chia cultivation by revealing relationships between the performance of chia morphotypes and weather conditions.

Authors

Institutions

Publication Details

Journal
PeerJ
Published
2025-04-08
DOI
https://doi.org/10.7717/peerj.19210
Citations
2
Primary Topic
Polysaccharides Composition and Applications
Type
article
Field-Weighted Citation Impact
2.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing sowing time and weather conditions for enhanced growth and seed yield of chia (Salvia hispanica L.) in semi-arid regions

E. Senthamil, Honnappa Asangi, Arvind Kumar Verma, Y Ravi et al.
2 citations
PeerJ
Polysaccharides Composition and Applications
2.32
article

Optimizing sowing time and weather conditions for enhanced growth and seed yield of chia (Salvia hispanica L.) in semi-arid regions

E. Senthamil, Honnappa Asangi, Arvind Kumar Verma, Y Ravi, RN Singh, Hanamant M. Halli, G.R. Halagundegowda, Amresh Chaudhary, K. Sammi Reddy, P M Basavaraj, KM Boraiah, Jagadish Rane, CB Harisha
article en
2 citations

Abstract

The results revealed that weather conditions such as relative humidity (RH) and rainfall favoured the flowering phenology, yield attributes, and seed yield of chia, whereas maximum temperature (T<sub>max</sub>), bright sunshine hours, and accumulated growing degree days had negative effects. Weather parameters significantly influenced the chia seed yield during the cropping period: RH (positive, <i>R</i> <sup>2</sup> = 86.1%), T<sub>max</sub> (negative, <i>R</i> <sup>2</sup> = 67.4%), rainfall (positive, <i>R</i> <sup>2</sup> = 52.9%), and diurnal temperature range (negative, <i>R</i> <sup>2</sup> = 74.9%). Black-seeded chia morphotypes consistently produced higher seed yields (10.8% greater) and better yield-contributing traits compared to white types across various sowing dates. The maximum chia seed yield (811-793.1 kg ha<sup>-1</sup>) was achieved with sowing dates between August 1st and September 1st in this semi-arid region of India. The performance of chia was good under congenial weather conditions, including relative humidity (∼67-72%), maximum temperature (∼30-31 °C), day length (<12.0 h), rainfall (∼200-350 mm), and accumulated growing degree days (∼1,521-1,891). The present study findings can help identify the best suitable regions for chia cultivation by revealing relationships between the performance of chia morphotypes and weather conditions.

PeerJVol. 13
Central Soil Salinity Research Institute (IN), Central Arid Zone Research Institute (IN), University of Agricultural Sciences, Dharwad (IN), Central Silk Technological Research Institute (IN), National Research Centre on Seed Spices (IN), National Institute of Abiotic Stress Management (IN), Central Institute for Arid Horticulture
Openalex Percentile: Top 13%
Polysaccharides Composition and Applications
2.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.