@article{(Open Science Index):https://publications.waset.org/pdf/9999931,
	  title     = {Adaptability of ‘Monti Dauni’ Bean Ecotypes in Plain Areas},
	  author    = {Disciglio G. and  Nardella E. and  Gatta G. and  Giuliani M.M. and  Tarantino A.},
	  country	= {},
	  institution	= {},
	  abstract     = {The bean (Phaseolus vulgaris L.) is one of the best
known of the legumes, and it has a long cultivation tradition in Italy.
The territory of “Subappennino Dauno” (southern Italy) is at around
700 m a.s.l. and is predominantly grown with cereals, olive trees and
grapevines. Ecotypes of white beans to eat dry (such as cannellini
beans) are also grown, which are sought for their palatability, high
digestibility, and ease of cooking. However, these are not easy to find
on the market due to their low production in relatively small areas
and on small family farms that use seeds handed down from
generation to generation. The introduction of these ecotypes in plain
areas of the Puglia region would provide an opportunity to promote
the diffusion of this type of bean. To investigate the adaptability of
these ecotypes in plain environments (Cerignola, in southern Italy) a
comparative trial was carried out between three ‘Monti Dauni’
ecotypes (E1, E2, E3) that are native to mountain areas and the
similar commercial variety, ‘Cannellini’. The data provide useful
information about the quantitative and qualitative characteristics of
these ecotypes when grown in lowland environments. Ecotype E3
provided the greatest bean production (2.34 t ha-1) compared to
‘Cannellini’ (1.28 t ha-1) and the other ecotypes (0.55 and 0.40 t ha-1,
for E1 and E2, respectively), due to its greater plant growth and the
larger size of the seed (and thickness, in particular). Finally, ecotype
E2 provided the greatest protein content (31.2%), although not
significantly different from the commercial cultivar ‘Cannellini’
(32.1%).
},
	    journal   = {International Journal of Agricultural and Biosystems Engineering},
	  volume    = {8},
	  number    = {10},
	  year      = {2014},
	  pages     = {1158 - 1162},
	  ee        = {https://publications.waset.org/pdf/9999931},
	  url   	= {https://publications.waset.org/vol/94},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 94, 2014},
	}