41 to 50 of 1,752 Results
Apr 9, 2026
Barpete, Surendra, 2024, "Grass pea stage 2 - IGYT_LO_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/AYBBAM, MELDATA, V7
The dataset includes includes observation data about the study IGYT_LO_2023: International Grass Pea (Lathyrus sativus) Yield Trial for Low Odap 2023. Objective: to test the improved elite lines under a wide range of environments, to identify superior high yielding and widely ada... |
Apr 9, 2026
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2025, "Barley stage 2 - FFFBYT_2024 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/FJX8VL, MELDATA, V5
The dataset includes includes observation data about the study FFFBYT_2024: Feed and Forage Barley for Favorable environments Yield Trial 2024, Amlaha, India. 400 plots (3m2 each), Alpha latice design. Date of sowing 10-16 December 2023. |
Apr 9, 2026
Zaim, Meryem; Sanchez-Garcia, Miguel, 2025, "Barley Landraces multi-location field trial - Morocco_Tunisia_Lebanon_Ethiopia 2023-2024", https://hdl.handle.net/20.500.11766.1/FK2/RSCKQG, MELDATA, V4
Assessment of Barley Landraces: multi-location field trial conducted in Morocco, Tunisia, Lebanon and Ethiopia during 2023-2024 cropping season. |
Apr 9, 2026
El Haddad, Noureddine; Sanchez-Garcia, Miguel, 2023, "Hordeum spontaneum trial for high-beta glucan and Fe content - Marchouch 2021-2022", https://hdl.handle.net/20.500.11766.1/FK2/PC8P9V, MELDATA, V6
Selection of Hordeum spontaneum (wild barley) lines via Near-infrared Reflectance Spectroscopy assisted speed breeding (NIRS-SP) strategy: high beta-glucan and Fe content trials conducted at Marchouch station, Morocco, during 2021-2022 cropping season. |
Apr 9, 2026
Gautam, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat stage 2 trial 2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/TZDFQF, MELDATA, V4
The dataset includes observation data from Durum wheat stage 2 trial 2023, India. The trial includes F6 generations material that shows stable and high yield performance over checks at Amlaha station. |
Apr 9, 2026
Gautam, Amit; Bassi, Filippo; Agrawal, Shiv Kumar, 2024, "Durum wheat crosses 2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/GVF1FC, MELDATA, V4
The dataset includes the list of Durum wheat crosses from season 2022-2023: crosses between India best checks and ICARDA elite germplasm that are superior for various traits (seed boldness, more number of tillers, water use efficiency, stay green, etc…) to add in improving the Na... |
Apr 9, 2026
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - FFBYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/UVO7XP, MELDATA, V5
The dataset includes includes observation data about the study FFBYT_2023: Food and Fodder Barley Yield Trial 2023, Amlaha, India. 120 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022. |
Apr 9, 2026
Devate, Narayana; Sanchez-Garcia, Miguel; Agrawal, Shiv Kumar, 2024, "Barley stage 2 - ASABYT_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/FSPHUD, MELDATA, V5
The dataset includes includes observation data about the study ASABYT_2023: Arid and Semi-Arid regions Barley Yield Trial 2023, Amlaha, India. 400 plots (3m2 each), Alpha latice design. Date of sowing 15-25 November 2022. |
Apr 9, 2026
Singh, Akanksha, 2024, "CWR-derived grass pea 100 lines 2023 - ICARDA Morocco", https://hdl.handle.net/20.500.11766.1/FK2/DHN5B7, MELDATA, V4
The dataset includes observation data about the study MCH_CWR_100_BOLD_2023: Evaluation of 100 crop wild relatives derived grass pea (Lathyrus sativus) lines at Marchouch station, Marocco, 2023. |
Apr 9, 2026
Barpete, Surendra, 2024, "Grass pea stage 2 - IGYT_HB_2023 - ICARDA - India", https://hdl.handle.net/20.500.11766.1/FK2/OP1V0X, MELDATA, V7
The dataset includes observation data about the study IGYT_HB_2023: International Grass Pea (Lathyrus sativus) Yield Trial for High Biomass 2023. Objective: to test the improved elite lines under a wide range of environments to identify superior high yielding and widely adapted l... |
