Phenology and yield of sweet corn landraces influenced by planting dates
2009
Khan, Z.H. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Agronomy) | Khalil, S.K. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Agronomy) | Nigar, S. (NWFP Agricultural Univ., Peshawar (Pakistan). Inst. of Development Studies) | Khalil, I.H. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Plant Breeding and Genetics) | Haq, I. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Agricultural Extension Education and Communication) | Ahmad, I. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Agricultural Extension Education and Communication) | Ali, A. (NWFP Agricultural Univ., Peshawar (Pakistan). Dept. of Plant Pathology) | Khan, M.Y.
This study was conducted to determine the production potential and optimum sowing date for various landraces of sweet corn. The research was carried out at New Developmental Farm, NWFP Agricultural University Peshawar, Pakistan during 2007 crop season. Sowing dates were 25 April (D1), 25 May (D2), 16 June (D3), 26 July (D4) and 18 August (D5). Sweet corn landraces Mingora, Mansehra, Swabi, Parachinar and cv. Azam were used. All parameters were significantly affected by sowing dates, landraces and their interaction. Days to 50 % tasselling and 50% silking decreased as the date of sowing was delayed from D1 to D5. Days to maturity decreased as the date of sowing was delayed from D1 to D3 and then increased again as sowing was delayed from D3 to D5. Sweet corn landrace Swabi produced maximum (17292 kg per ha) biological yield from D1 sowing compared to minimum (7083 kg per ha) produced by Parachinar on D5. Azam produced maximum grain yield (4097 kg per ha) and harvest index (27.21 %) when sown on D4, where as minimum grain yield (621 kg per ha) and harvest index (7.16 %) was observed for Parachinar and Mingora respectively on D5 sowing.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par National Agricultural Research Centre
Découvrez la collection de ce fournisseur de données dans AGRIS