Managing rangelands: promoting and establishing sand dune fixing species: Stipagrostis pungens (Desf.) De Winter: a xerophytic quicksand- and dune-fixing species adapted to sandy deserts
Stipagrostis pungens is a perennial grass species which belongs to the Poaceae family. It is usually found with several erect culms, grows up to 1.5 m in height, and forms substantial tufts. It is a tall stiff glabrous grass with pungent leaves...
Managing rangelands: promoting sustainable legume species: Hedysarum coronarium L.: a biennial herbaceous legume used for forage in the Mediterranean basin
Sulla (Hedysarum coronarium L.) is deep rooted and drought resistant. This species native to the Mediterranean is effective in biological fixation of sloping land, and improving organo-mineral soil fertility and yields and protein value of...
Characterization of grass pea (Lathyrus sativus L.) germplasm collections for beneficial agronomic traits
At ICARDA, germplasm collections obtained from five countries namely, Bangladesh, Ethiopia, Syria, Nepal and Pakistan were grouped in to seven sets of trials (BANG1, BANG2, ICARDA, ETH1, ETH2, NEP, PAK) and evaluated in two experimental...
Slow rusting of bread wheat landraces to Puccinia striiformis f.sp. tritici under artificial field inoculation
Yellow rust caused by Puccinia striiformis f. sp. tritici is the most devastating fungal disease of wheat, especially in the Central and West Asia and North Africa (CWANA) region. Most of the released cultivars in CWANA have become susceptible...
Parasitoids of chickpea leafminer Liriomyza cicerina (Diptera: Agromyzidae) and their parasitism rate on chickpea fields in North Tunisia
In recent years, as a consequence of climatic changes, the leafminer Liriomyza cicerina had emerged as a serious pest in chickpea crops causing considerable damage in Tunisia. Thus, the search of control methods is necessary. The aim of this...
Soil salinity prediction and mapping by machine learning regression in Central Mesopotamia, Iraq
Soil salinization affects crop production and food security. Mapping spatial distribution and severity of salinity is essential for agricultural management and development. This study was aimed to test the effectiveness of machine learning...
