Evidence map›Paper›PMID 40226547›Full record

ArticlePeerJ2025

Optimizing sowing time and weather conditions for enhanced growth and seed yield of chia (

C B Harisha, K M Boraiah, P S Basavaraj, Hanamant M Halli, Ram Narayan Singh, Jagadish Rane, K Sammi Reddy, G R Halagundegowda, Amresh Chaudhary, Arvind Kumar Verma and 3 more

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Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

C B Harisha *ICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
K M Boraiah *ICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
P S BasavarajICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
Hanamant M HalliICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
Ram Narayan SinghICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
Jagadish RaneICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
K Sammi ReddyICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
G R HalagundegowdaCentral Silk Board, Bangalore, Bangalore, Karnataka, India.
Amresh ChaudharyICAR-National Institute of Abiotic Stress Management, Baramati, Maharashtra, India.
Arvind Kumar VermaICAR-National Research Centre on Seed Spices, Ajmer, Rajasthan, India.
Y RaviICAR-National Research Centre on Seed Spices, Ajmer, Rajasthan, India.
Honnappa AsangiICAR-Indian Institute of Spice Research Regional Station, Appangala, Karnataka, India.
E SenthamilUniversity of Agricultural Sciences, Dharwad, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate influenced weather events, especially during the flowering, grain filling, and maturity stages, can adversely influence crop yield and quality. Therefore, understanding how the phenological behaviour and yield potential of new crops such as chia are influenced by weather and sowing dates is crucial for maximizing crop yield. This study aimed to assess the impact of sowing dates on the flowering behaviour, and yield attributes of chia morphotypes, as well as to identify optimal weather conditions for achieving higher yields. Methods: The study was conducted during 2021-22 and 2022-23 and consisted of fifteen sowing windows from 1st July to 1st February (at 15 days intervals), with two chia morphotypes (white and black seed) arranged in a replicated split-plot design. Phenological events, flowering characters and seed yield traits were recorded regularly. Weather parameters at the experimental location (Maharashtra, India) were recorded. Results: 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

Indexed as

SalviaSeedsWeatherCrops, AgriculturalFlowersIndiaSeasonsTemperatureTime FactorsChiaFlowering phenologyGrowing degree daysSowing datesTemperatureWeather parametersYield attributes

Identifiers

PMID40226547
PMCPMC11988109

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.