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"Genetic improvement in grain yield and quality of Australian durum whe" by Gururaj Kadkol, Mike Sissons et al.

Background and Objectives: Durum wheat breeding commenced in Australia in the 1930s by the New South Wales Department of Primary Industries (NSW DPI), Australia. Dural was developed in 1956 from a cross between North African landraces. Since then, another 20 varieties have been released in the following six decades by NSW DPI and the University of Adelaide. These were evaluated for agronomic and detailed quality traits including pasta-making quality over three seasons. This study aimed to quantify progress achieved in Australian durum breeding for yield, quality, and some agronomic traits since the release of Dural. Findings: A demonstrated grain yield improvement at the rate of 27.8 kg ha−1 year−1 up to 2017 has been achieved when generally maintaining low screenings and high thousand grain weight. The recent varieties are medium early in their maturity relative to Dural and possess improved lodging tolerance which has resulted in better adaptation to seasonal conditions under dry ....

University Of Adelaide , South Australia , Wales Department Of Primary Industries , New South Wales Department , Primary Industries , North African , Dough Strength , Durum Wheat , Grain Protein , Brain Quality , Grain Yield , Asta Color , Asta Making Quality , Emolina Color , Emolina Quality ,

ICARDA former visiting PhD student, Damiano Puglisi, wins SIGA Prize

ICARDA is proud to announce that our former visiting Ph.D. student, Dr. Damiano Puglisi, has been awarded the Carlo Jucci Prize for Plant Breeding and Biotechnology from the Italian Society of Agrarian Genetics (SIGA). Dr. Puglisi visited ICARDA in the framework of iBarMed (ARimNet Funded) Project coordinated by Dr. Agostino Fricano (CREA, Italy).  ....

Andrea Visioni , Agostino Fricano , Damiano Puglisi , National Congress , Italian Society Of Agrarian Genetics , Carlo Jucci Prize , Plant Breeding , Italian Society , Agrarian Genetics , Net Funded , Genomic Prediction , Grain Yield , Modeling Genotype ,