minerals, 86, 106, 179, 256–258, 260–261,
minimal processing, 13, 101, 105–106,
108, 116
miscommunication, 229
mitochondria, 33, 100, 105, 107
mnemonic, 269
modified
atmosphere, 103, 105–106, 108, 115,
116
atmosphere packaging, 105
starch, 36
moisture, 56, 91–92, 97, 103, 131
mold, 58, 273
molecular markers, 22–23
money, 271, 273–275
flow, 49, 51, 267
monocarpic
behavior, 106
plant, 107
monogenic trait, 22
monosaccharide, 91
mood, 158, 160–161, 173
mouth dryness, 173
mouthfeel, 151, 179–181, 187, 192, 195,
290
multiattribute attitude model, 240–241
multibusiness postharvest system, 280
multidimensional
algorithm, 161
scaling, 50, 161
multidirectional, 274
multidisciplinary, 228–231
multilevel market analysis, 232
multilingual vocabulary, 167
multiple
business, 270
regression, 52, 133, 190, 195
multivariate analysis, 16, 166
mushroom, 45, 239, 241
mushiness, 154
must-be quality, 207–208, 211, 260–261
mutant, 21
mycotoxin, 86naive consumer, 181
national business, 278natural, 172, 257–258, 263–264, 287
resources, 235
nectarine, 28
Need for Cognition (NFC) test, 172–173
neoclassical, 232, 236
neural networks, 16
neurological effect, 36
New York City, 270–271, 274
nitrate, 86–87, 179, 292
nitrogen
demand, 292
fertilizer, 113, 287–290, 292
losses, 288, 290
uptake, 287–289
nonclimacteric tissue, 99, 111–112
nondestructive testing, 101, 142
nonuse value, 236
North America, 272
Northern Europe, 112
northern hemisphere, 113
novel
food 159–160
production process, 160
novelty, 243
nucleic acid, 109
nutraceutical, 32–33, 35, 40–41, 154
nutrient, 86, 139
film, 185
input, 272
solution, 185–186, 189
nutritional
value, 9–10, 32–33, 35, 40, 55, 57, 59,
86–87, 154, 158, 160–161, 167, 238,
242, 262, 264, 273, 278
nuts, 242objective quality, 47, 178, 202–203, 205,
211, 301
off-flavor, 106, 148, 163, 191, 214, 298
oilseed, 35, 40, 228, 233
old-fashioned, 257–259
oleic acid, 35
one-on-one comparison, 209
onion, 25, 96, 104, 106, 113–114, 239,
242
ontogenesis, 96Index 3212317_Fruit_ch17(idx)_p309 3/6/00 9:16 AM Page 321