KORELASI KARAKTER ANATOMI DAUN UBI JALAR (Ipomoea batatas L.) KULTIVAR TAHAN DAN TIDAK TAHAN TERHADAP INTENSITAS PENYAKIT KUDIS DAUN
Abstrak: Sweet potato (Ipomoea
batatas L.) is one of alternative food sources beside than rice. Sweet potatoes
are contains minerals, nutrients, sources of energy, protein, vitamins A and C.
Sweet potatoes have lower productivity than rice and cassava. The low productivity
of sweet potatoes due to several factors, which one of them is a leaf scab
disease caused by pathogens Sphaceloma batatas Saw. The purpose of this study
is to determine the character of the anatomy of sweet potato leaf cultivars
that resistant and unresistant to the intensity of leaf scab disease, as well
as the correlations between the anatomy character of sweet potato leaves with
leaf scab disease intensity. The method used in this study is an experimental
method with factorial completely randomized design. The first factor is the
character of the anatomy of four cultivars sweet potato leaves, Cangkuang and
Sukuh cultivars (cultivars resistant), cultivars Cilembu and Beta (unresistant
cultivars). The second factor is the inoculation treatment S. batatas Saw. The
parameters were observed thickness of cuticle, epidermis, mesophyll, the size
(length and width) stomata, density of stomata and trikomata as well as the
intensity of the disease were analyzed using analysis of variance (ANOVA). To
determine the correlation between the anatomy character leaves with disease
intensity using regression correlation analysis. The results showed that
Cangkuang cultivar has cuticle, epidermis and mesophyll thickest. Beta
cultivars have stomata size of the longest and widest. Cilembu cultivar has the
highest density of stomata. Sukuh cultivars has the highest density. The
anatomy characters include of a thick cuticle, epidermis, stomata size (length
and width), as well as the density of stomata and trikomata correlated with
intensity of leaf scab disease.
Penulis: Ade Winda Pradana,
Siti Samiyarsih, Juni Safitri Muljowati
Kode Jurnal: jpbiologidd170020
